CN117315945B - Traffic collision accident vehicle rescue method and system based on big data - Google Patents
Traffic collision accident vehicle rescue method and system based on big data Download PDFInfo
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- G—PHYSICS
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
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- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
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- G08G1/096833—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
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Abstract
The invention is applicable to the technical field of traffic accident vehicle rescue, and provides a traffic accident vehicle rescue method and a traffic accident vehicle rescue system based on big data, wherein traffic accident scene photos of damaged vehicles are obtained by acquiring road rescue request information and according to the road rescue request information; and analyzing the traffic accident scene photo to determine the predicted blocking degree of the road where the damaged vehicle is located. When a traffic collision accident occurs in an urban road, whether the damaged vehicle with driving conditions needs to leave an accident occurrence area or not can be judged according to the estimated blocking degree of the road where the damaged vehicle is located, and after the damaged vehicle leaves the accident occurrence area, the damaged vehicle and a rescue agency can be combined with a discussion accident treatment scheme in a designated parking lot, so that the situation that the road where the damaged vehicle is located is jammed in a large area due to the fact that the damaged vehicle waits for the rescue agency for a long time on the road where the damaged vehicle is located is avoided.
Description
Technical Field
The invention belongs to the technical field of traffic accident vehicle rescue, and particularly relates to a traffic collision accident vehicle rescue method and system based on big data.
Background
The road rescue refers to the emergency rescue of an automobile road and provides on-site minor repair and other services for a faulty automobile owner; meanwhile, the system also refers to traffic accident road rescue, including wounded rescue, road dredging and the like.
In the peak time of the morning and evening, the traffic collision accident occurrence rate on the urban road is extremely high, and once the traffic collision accident occurs, most damaged vehicle drivers wait for rescue institutions to arrive on the road where the damaged vehicles are located, which can lead to the situation that the road where the damaged vehicles are located and the nearby roads can be jammed in a large area. At present, after a rescue organization receives a road rescue request from a damaged vehicle driver, the rescue organization cannot intelligently judge and inform whether the damaged vehicle can directly drive away from a road accident area or not, and then carries out accident handling and rescue operations in other parking areas without affecting traffic.
Disclosure of Invention
The invention aims to provide a traffic collision accident vehicle rescue method and system based on big data, and aims to solve the problems in the background technology.
The invention is realized in such a way that a traffic collision accident vehicle rescue method based on big data comprises the following steps:
acquiring road rescue request information, and acquiring traffic accident scene photos of the damaged vehicle according to the road rescue request information;
analyzing the traffic accident scene photo and determining the predicted blocking degree of the road where the damaged vehicle is located;
if the estimated blocking degree of the road where the damaged vehicle is located is not serious, acquiring damaged vehicle accident position information of the damaged vehicle, generating road waiting rescue information according to the damaged vehicle accident position information, and sending the road waiting rescue information to a rescue organization;
if the estimated blocking degree of the road where the damaged vehicle is located is judged to be serious, self-service driving-away information is generated and sent to the user terminal and the rescue organization.
As a further limitation of the technical solution of the embodiment of the present invention, the step of obtaining the road rescue request information and obtaining the traffic accident scene photograph of the damaged vehicle according to the road rescue request information includes:
acquiring road rescue request information;
judging whether the damaged vehicle has driving conditions or not according to the road rescue request information;
and if the damaged vehicle is determined to have driving conditions, acquiring a traffic accident scene photo according to the road rescue request information.
As a further limitation of the technical solution of the embodiment of the present invention, the step of determining whether the damaged vehicle has driving conditions according to the road rescue request information includes:
judging whether the damaged vehicle has driving conditions or not according to the road rescue request information;
if the damaged vehicle is determined to not have driving conditions, acquiring a damaged vehicle nearby automobile repair mechanism and position information of each automobile repair mechanism according to the damaged vehicle accident position information of the damaged vehicle;
screening the repair mechanisms near the damaged vehicle to determine a target repair mechanism with the shortest distance to the damaged vehicle;
acquiring contact information of a target repairing mechanism based on big data;
and transmitting the accident position information of the damaged vehicle to the target automobile repair mechanism according to the contact information of the target automobile repair mechanism.
As a further limitation of the technical solution of the embodiment of the present invention, the step of analyzing the traffic accident scene photo and determining the predicted blocking degree of the road where the damaged vehicle is located includes:
analyzing the traffic accident scene photos to determine the road occupation condition of damaged vehicles;
acquiring real-time traffic flow information of a road where a damaged vehicle is located based on big data and accident position information of the damaged vehicle;
and comprehensively determining the estimated blocking degree of the road where the damaged vehicle is located according to the real-time traffic flow information of the road where the damaged vehicle is located and the road occupation condition of the damaged vehicle.
As a further limitation of the technical solution of the embodiment of the present invention, if it is determined that the predicted blocking degree of the road where the damaged vehicle is located is serious, the step of generating self-service driving-away information and sending the self-service driving-away information to the user terminal and the rescue organization includes:
if the estimated blocking degree of the road where the damaged vehicle is located is judged to be serious, acquiring the parking lot near the damaged vehicle and the position information of each parking lot according to the accident position information of the damaged vehicle;
screening parking areas near the damaged vehicle to determine a target parking area with the shortest distance to the damaged vehicle;
and generating self-service driving-away information according to the target parking area and the corresponding position information thereof, and sending the self-service driving-away information to the user terminal and the rescue organization.
As a further limitation of the technical solution of the embodiment of the present invention, the self-service driving-away information includes a target parking lot, position information corresponding to the target parking lot, and a route planning solution between the damaged vehicle and the target parking lot.
A big data based traffic collision accident vehicle rescue system, the system comprising: the system comprises a traffic accident scene photo acquisition unit, an expected blocking degree determination unit, a road waiting rescue information generation unit and a self-service driving-away information generation unit, wherein:
the traffic accident scene photo acquisition unit is used for acquiring road rescue request information and acquiring traffic accident scene photos of damaged vehicles according to the road rescue request information;
the estimated blocking degree determining unit is used for analyzing the traffic accident scene photo and determining the estimated blocking degree of the road where the damaged vehicle is located;
the road waiting rescue information generation unit is used for acquiring the accident position information of the damaged vehicle if the predicted blocking degree of the road where the damaged vehicle is located is not serious, generating road waiting rescue information according to the accident position information of the damaged vehicle and sending the road waiting rescue information to the rescue organization;
the self-service driving-away information generation unit is used for generating self-service driving-away information and sending the self-service driving-away information to the user terminal and the rescue organization if the estimated blocking degree of the road where the damaged vehicle is located is judged to be serious.
As a further limitation of the technical solution of the embodiment of the present invention, the traffic accident scene photo obtaining unit specifically includes:
the road rescue request information acquisition module is used for acquiring road rescue request information;
the driving condition judging module is used for judging whether the damaged vehicle has driving conditions or not according to the road rescue request information;
and the traffic accident scene photo acquisition module is used for acquiring traffic accident scene photos according to the road rescue request information if the damaged vehicle is determined to have driving conditions.
As a further limitation of the technical solution of the embodiment of the present invention, the predicted blocking degree determining unit specifically includes:
the road occupation condition determining module is used for analyzing the traffic accident scene photos and determining the road occupation condition of the damaged vehicles;
the traffic flow information acquisition module is used for acquiring real-time traffic flow information of a road where the damaged vehicle is located based on the big data and the accident position information of the damaged vehicle;
and the estimated blocking degree determining module is used for comprehensively determining the estimated blocking degree of the road where the damaged vehicle is located according to the real-time traffic flow information of the road where the damaged vehicle is located and the road occupation condition of the damaged vehicle.
As a further limitation of the technical solution of the embodiment of the present invention, the self-service driving-away information generating unit specifically includes:
the parking lot acquisition module near the damaged vehicle is used for acquiring the parking lot near the damaged vehicle and the position information of each parking lot according to the accident position information of the damaged vehicle if the estimated blocking degree of the road where the damaged vehicle is located is judged to be serious;
the target parking lot location determining module is used for screening parking lots nearby the damaged vehicle and determining a target parking lot location with the shortest distance to the damaged vehicle;
the self-service driving-away information generation module is used for generating self-service driving-away information according to the target parking area and the corresponding position information thereof, and sending the self-service driving-away information to the user terminal and the rescue organization.
Compared with the prior art, the method and the device have the advantages that the road rescue request information is obtained, and the traffic accident scene picture of the damaged vehicle is obtained according to the road rescue request information; analyzing the traffic accident scene photo and determining the predicted blocking degree of the road where the damaged vehicle is located; if the estimated blocking degree of the road where the damaged vehicle is located is not serious, acquiring damaged vehicle accident position information of the damaged vehicle, generating road waiting rescue information according to the damaged vehicle accident position information, and sending the road waiting rescue information to a rescue organization; if the estimated blocking degree of the road where the damaged vehicle is located is judged to be serious, self-service driving-away information is generated and sent to the user terminal and the rescue organization. When a traffic collision accident occurs in an urban road, whether the damaged vehicle with driving conditions needs to leave an accident occurrence area or not can be judged according to the estimated blocking degree of the road where the damaged vehicle is located, and after the damaged vehicle leaves the accident occurrence area, the damaged vehicle and a rescue agency can be combined with a discussion accident treatment scheme in a designated parking lot, so that the situation that the road where the damaged vehicle is located is jammed in a large area due to the fact that the damaged vehicle waits for the rescue agency for a long time on the road where the damaged vehicle is located is avoided.
Drawings
FIG. 1 is a flow chart of a method provided by an embodiment of the present invention;
FIG. 2 is a flowchart of a method for obtaining a traffic accident scene photograph according to an embodiment of the present invention;
FIG. 3 is a flow chart of a method for transmitting damaged vehicle accident location information to a target repair facility according to an embodiment of the present invention;
FIG. 4 is a flow chart of a method for determining an expected degree of resistance of a road on which a damaged vehicle is located in accordance with an embodiment of the present invention;
FIG. 5 is a flowchart of generating self-service drive-away information in the method provided by the embodiment of the invention;
FIG. 6 is an application architecture diagram of a system provided by an embodiment of the present invention;
FIG. 7 is a block diagram of a traffic accident scene photo acquisition unit in the system according to the embodiment of the present invention;
FIG. 8 is a block diagram showing the construction of an estimated blocking degree determining unit in the system according to the embodiment of the present invention;
fig. 9 is a block diagram of a self-service driving-away information generating unit in the system according to the embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Fig. 1 shows a flowchart of a method provided by an embodiment of the present invention.
Specifically, the method for rescuing the traffic collision accident vehicle based on big data specifically comprises the following steps:
step S100, obtaining road rescue request information, and obtaining traffic accident scene photos of damaged vehicles according to the road rescue request information.
Specifically, fig. 2 shows a flowchart for acquiring a photograph of a traffic accident scene.
The method for obtaining the traffic accident scene photo of the damaged vehicle specifically comprises the following steps of:
step S101, obtaining road rescue request information;
step S102, judging whether the damaged vehicle has driving conditions or not according to the road rescue request information;
step S103, if the damaged vehicle is determined to have driving conditions, acquiring a traffic accident scene photo according to the road rescue request information.
In the embodiment of the invention, when a traffic collision accident happens, a driver or a passenger of a damaged vehicle uses a user terminal (mainly a smart phone) and generates road rescue request information through a vehicle rescue APP installed in the user terminal, and the driver or the passenger of the damaged vehicle fills relevant information about the vehicle collision accident in the vehicle rescue APP, wherein the relevant information at least comprises damaged vehicle accident position information of the damaged vehicle, traffic accident scene photos, whether the damaged vehicle can be driven continuously, whether the damaged vehicle driver or the passenger has an injury, and the like, and the traffic accident scene photos input into the vehicle rescue APP should contain specific injury pictures of the damaged vehicle and scene pavement pictures of the accident;
after the background processing computer receives the road rescue request information, the road rescue request information is analyzed at first, whether the damaged vehicle still has driving conditions or not is judged, if the damaged vehicle still has driving conditions, the background processing computer analyzes the road rescue request information again, and the traffic accident scene picture contained in the road rescue request information is extracted.
Specifically, FIG. 3 shows a flow chart for transmitting damaged vehicle accident location information to a target repair facility.
The method for judging whether the damaged vehicle has driving conditions according to the road rescue request information specifically comprises the following steps:
step S1021, judging whether the damaged vehicle has driving conditions or not according to the road rescue request information;
step S1022, if the damaged vehicle is determined to not have driving conditions, acquiring the damaged vehicle nearby automobile repair mechanism and the position information of each automobile repair mechanism according to the damaged vehicle accident position information of the damaged vehicle;
step S1023, screening the repair mechanisms near the damaged vehicle to determine a target repair mechanism with the shortest distance to the damaged vehicle;
step S1024, acquiring contact information of the target repairing organization based on the big data;
step S1025, the damaged vehicle accident position information is sent to the target automobile repair mechanism according to the contact information of the target automobile repair mechanism.
In the embodiment of the invention, after receiving the road rescue request information, the background processing computer informs a rescue mechanism to dispatch a rescue team to rescue the damaged vehicle if judging that the damaged vehicle does not have driving conditions, and meanwhile, the background processing computer can acquire the position information of a vehicle repair mechanism nearby the damaged vehicle and each vehicle repair mechanism according to the damaged vehicle accident position information of the damaged vehicle, screen out a target vehicle repair mechanism with the shortest distance from the damaged vehicle, acquire the contact information of the target vehicle repair mechanism through big data, for example, search the target vehicle repair mechanism in a search engine, acquire the contact information of the target vehicle repair mechanism, and then the background processing computer transmits the damaged vehicle accident position information to the target vehicle repair mechanism according to the contact information of the target vehicle repair mechanism;
the method comprises the steps that after a vehicle encounters a serious collision accident, a vehicle repairing mechanism can arrive at an accident site in time to check a damaged vehicle, and if the failure of the damaged vehicle, which cannot be driven, can be repaired in a short time, feedback information can be generated and sent to a background processing computer to determine that the damaged vehicle does not need a trailer service, so that rescue resources of a rescue mechanism can be saved.
Further, the traffic collision accident vehicle rescue method based on big data further comprises the following steps:
and step 200, analyzing the traffic accident scene photos to determine the expected blocking degree of the road where the damaged vehicle is located.
Specifically, FIG. 4 shows a flow chart for determining the predicted degree of resistance of a road on which a damaged vehicle is located.
The method for determining the predicted blocking degree of the road where the damaged vehicle is located specifically comprises the following steps of:
step S201, analyzing the traffic accident scene photos and determining the road occupation situation of damaged vehicles;
step S202, acquiring real-time traffic flow information of a road where a damaged vehicle is located based on big data and accident position information of the damaged vehicle;
and step S203, comprehensively determining the estimated blocking degree of the road where the damaged vehicle is located according to the real-time traffic flow information of the road where the damaged vehicle is located and the road occupation condition of the damaged vehicle.
In the embodiment of the invention, when a background processing computer determines that a damaged vehicle still has driving conditions and can drive away from an accident road by self, the background processing computer sends a traffic accident scene photo to a rescue agency processor intelligent terminal (mainly an intelligent computer), then the rescue agency processor analyzes the traffic accident scene photo contained in road rescue request information, determines the lane condition of the road where the damaged vehicle is located and the specific road occupation condition of the road where the damaged vehicle is located, then the background processing computer extracts damaged vehicle accident position information contained in road rescue request information, acquires real-time traffic information of the road where the damaged vehicle is located, corresponding to the damaged vehicle accident position information, through big data, and then the background processing computer sends the real-time traffic information of the road where the damaged vehicle is located to the rescue agency processor intelligent terminal, wherein the source of the real-time traffic information of the road where the damaged vehicle is located can be a common navigation APP (for example, a Gode map APP or a hundred-degree APP, and the like), and then the rescue agency processor determines the comprehensive real-time traffic information of the road where the damaged vehicle is located according to the lane condition of the damaged vehicle is located, the specific road occupation condition of the road where the damaged vehicle is located on the road where the damaged vehicle is located and the real-time traffic information of the road where the damaged vehicle is located;
for example, after the rescue agency processor views the traffic accident scene photo, it is determined that the road where the damaged vehicle is located has one-way four lanes, the damaged vehicle occupies two lanes, and after the rescue agency processor receives the real-time traffic flow information of the road where the damaged vehicle is located, it is determined that the traffic flow of the road where the damaged vehicle is located is lower, then the rescue agency processor can comprehensively determine that the predicted blocking degree of the road where the damaged vehicle is located is lower, for example, after the rescue agency processor views the traffic accident scene photo, it is determined that the road where the damaged vehicle is located has one-way three lanes, and the damaged vehicle occupies two lanes, then the rescue agency processor receives the real-time traffic flow information of the road where the damaged vehicle is located, it is determined that the traffic flow of the road where the damaged vehicle is located is lower, and the rescue agency processor can comprehensively determine that the predicted blocking degree of the road where the damaged vehicle is located is medium, for example, after the rescue agency processor views the traffic accident scene photo, it is determined that the road where the damaged vehicle is located has one-way two lanes, and the damaged vehicle occupies two lanes, and no matter how the traffic flow of the road where the damaged vehicle is located is higher;
it can be understood that in the case of no injury to a person, and when the damaged vehicle does not have a driving condition, the rescue priority can be set for the damaged vehicle according to the expected blocking degree of the road where the damaged vehicle is located by the rescue agency, that is, when the expected blocking degree of the road where the damaged vehicle is located is low, the rescue priority of the damaged vehicle by the rescue agency is low, and when the expected blocking degree of the road where the damaged vehicle is located is high, the rescue priority of the damaged vehicle by the rescue agency is high, and the purpose of the rescue priority setting is that, in the period of time of rush hours and frequent traffic accidents, the traffic police department can perform priority treatment for the damaged vehicle with high priority in the period of time, so that the traffic police department can avoid the congestion phenomenon of the road where the damaged vehicle with high priority (the expected blocking degree of the road where the damaged vehicle is high) caused by a large area and a long time.
Further, the traffic collision accident vehicle rescue method based on big data further comprises the following steps:
step S300, if the predicted blocking degree of the road where the damaged vehicle is located is not serious, acquiring damaged vehicle accident position information of the damaged vehicle, generating road waiting rescue information according to the damaged vehicle accident position information, and sending the road waiting rescue information to a rescue organization;
and step S400, if the estimated blocking degree of the road where the damaged vehicle is located is judged to be serious, self-service driving-away information is generated and sent to the user terminal and the rescue organization.
Specifically, fig. 5 shows a flowchart of generating self-service travel-away information.
If the estimated blocking degree of the road where the damaged vehicle is located is judged to be serious, self-service driving-away information is generated and sent to the user terminal and the rescue organization, the method specifically comprises the following steps:
step S401, if the estimated blocking degree of the road where the damaged vehicle is located is judged to be serious, acquiring the parking lot locations near the damaged vehicle and the position information of each parking lot location according to the accident position information of the damaged vehicle;
step S402, screening parking areas nearby the damaged vehicle, and determining a target parking area with the shortest distance to the damaged vehicle;
step S403, self-service driving-away information is generated according to the target parking lot and the corresponding position information, and the self-service driving-away information is sent to the user terminal and the rescue organization.
In the embodiment of the invention, if rescue agency processing personnel judge that the predicted blocking degree of the road where the damaged vehicle is located is not serious, the background processing computer is used for acquiring the accident position information of the damaged vehicle, generating road waiting rescue information according to the accident position information of the damaged vehicle and sending the road waiting rescue information to the rescue agency, so that the rescue agency can arrive at the accident occurrence position according to the accident position information of the damaged vehicle and perform field processing and rescue on the traffic collision accident of the damaged vehicle, and the rescue agency can perform field processing and rescue on the traffic collision accident of the damaged vehicle under the condition that the road traffic where the damaged vehicle is located is not influenced to a great extent so as to more accurately analyze the collision accident and determine responsibility of the collision accident;
the rescue mechanism comprises a traffic accident handling department (traffic police department) and a vehicle rescue department, when the rescue mechanism handling personnel determine that the expected blocking degree of a road where a damaged vehicle is located is serious, in order to avoid the situation that the road where the damaged vehicle is located is large-area blocked due to the fact that the damaged vehicle waits for the rescue mechanism on the road where the damaged vehicle is located for a long time, the rescue mechanism handling personnel firstly acquire accident position information of the damaged vehicle through a background processing computer, then acquire position information of parking lots near the damaged vehicle and each parking lot according to the accident position information of the damaged vehicle, then screen the parking lots near the damaged vehicle, determine a target parking lot with the shortest distance to the damaged vehicle, and then the background processing computer generates self-service driving away information according to the target parking lot and the corresponding position information of the target parking lot, and sends the self-service driving away information to the user terminal and the rescue mechanism;
it will be appreciated that after the self-service departure information is received by the user terminal, the damaged vehicle should be driven into the target parking area designated in the self-service departure information (if a plurality of accident vehicles exist, all accident vehicles should be notified to enter the target parking area), then the driver or passenger of the damaged vehicle waits for the rescue agency at the target parking area, after the self-service departure information is received by the rescue agency, the rescue team should also be dispatched to enter the target parking area designated in the self-service departure information to meet the damaged vehicle, and the accident handling scheme is discussed, and it is noted that before the damaged vehicle leaves the accident place, the driver or passenger of the damaged vehicle should ensure that the specific photograph of the vehicle collision and the specific damaged photograph of the vehicle are saved for subsequent accident responsibility and vehicle damage assessment;
preferably, the self-service driving-away information includes a target parking lot, position information corresponding to the target parking lot, and a route planning scheme between the damaged vehicle and the target parking lot, so that a driver of the damaged vehicle can accurately and conveniently enter the designated target parking lot according to the route planning scheme;
it can be understood that, in step S101, when the vehicle repairing mechanism repairs the failure of the damaged vehicle that cannot be driven in a short time, the background processing computer may generate self-service driving-away information according to the feedback information uploaded by the vehicle repairing mechanism, and send the self-service driving-away information to the user terminal and the rescue mechanism, so that the damaged vehicle that is originally determined by the background processing computer and does not have driving conditions may also drive away from the road and enter the target parking lot, thereby avoiding road congestion caused by waiting for the rescue mechanism and trailer service on the road where the damaged vehicle is located.
Through the technical scheme, when a traffic collision accident occurs on the urban road, whether the damaged vehicle with driving conditions needs to leave an accident occurrence area or not can be judged according to the estimated blocking degree of the road where the damaged vehicle is located, and after the damaged vehicle leaves the accident occurrence area, the damaged vehicle and a rescue mechanism can be combined with a discussion accident treatment scheme in a designated parking lot, so that the situation that the road where the damaged vehicle is located is jammed in a large area due to the fact that the damaged vehicle waits for the rescue mechanism for a long time on the road where the damaged vehicle is located is avoided.
Further, fig. 6 shows an application architecture diagram of the system provided by the embodiment of the present invention.
In another preferred embodiment of the present invention, a traffic collision accident vehicle rescue system based on big data includes:
the traffic accident scene photo obtaining unit 100 is configured to obtain road rescue request information, and obtain a traffic accident scene photo of the damaged vehicle according to the road rescue request information.
Specifically, fig. 7 shows a block diagram of a traffic accident scene photo obtaining unit 100 in the system according to the embodiment of the present invention.
In a preferred embodiment of the present invention, the traffic accident scene photo obtaining unit 100 specifically includes:
the road rescue request information acquisition module 101 is used for acquiring road rescue request information;
the driving condition judging module 102 is configured to judge whether the damaged vehicle has a driving condition according to the road rescue request information;
the traffic accident scene photo obtaining module 103 is configured to obtain a traffic accident scene photo according to the road rescue request information if it is determined that the damaged vehicle has driving conditions.
In the embodiment of the invention, when a traffic collision accident happens, a driver or a passenger of a damaged vehicle uses a user terminal (mainly a smart phone) and generates road rescue request information through a vehicle rescue APP installed in the user terminal, and the driver or the passenger of the damaged vehicle fills relevant information about the vehicle collision accident in the vehicle rescue APP, wherein the relevant information at least comprises damaged vehicle accident position information of the damaged vehicle, traffic accident scene photos, whether the damaged vehicle can be driven continuously, whether the damaged vehicle driver or the passenger has an injury, and the like, and the traffic accident scene photos input into the vehicle rescue APP should contain specific injury pictures of the damaged vehicle and scene pavement pictures of the accident;
after the road rescue request information acquisition module 101 receives the road rescue request information, the road rescue request information is firstly analyzed, the driving condition judgment module 102 judges whether the damaged vehicle still has driving conditions, if the driving condition judgment module 102 determines that the damaged vehicle still has driving conditions, the road rescue request information acquisition module 101 analyzes the road rescue request information again, and the traffic accident scene photo acquisition module 103 extracts traffic accident scene photos contained in the road rescue request information;
after the background processing computer receives the road rescue request information, if the damaged vehicle is judged not to have driving conditions, the rescue mechanism should be informed to dispatch a rescue team to rescue the damaged vehicle, meanwhile, the background processing computer can also acquire the position information of a vehicle repair mechanism nearby the damaged vehicle and each vehicle repair mechanism according to the damaged vehicle accident position information of the damaged vehicle, screen out a target vehicle repair mechanism with the shortest distance to the damaged vehicle, acquire the contact information of the target vehicle repair mechanism through big data, for example, search for the target vehicle repair mechanism in a search engine, acquire the contact information of the target vehicle repair mechanism according to the contact information of the target vehicle repair mechanism, and then the background processing computer sends the damaged vehicle accident position information to the target vehicle repair mechanism according to the contact information of the target vehicle repair mechanism;
the method comprises the steps that after a vehicle encounters a serious collision accident, a vehicle repairing mechanism can arrive at an accident site in time to check a damaged vehicle, and if the failure of the damaged vehicle, which cannot be driven, can be repaired in a short time, feedback information can be generated and sent to a background processing computer to determine that the damaged vehicle does not need a trailer service, so that rescue resources of a rescue mechanism can be saved.
Further, the system for automatic driving lane change decision further comprises:
and the estimated blocking degree determining unit 200 is used for analyzing the traffic accident scene picture and determining the estimated blocking degree of the road where the damaged vehicle is located.
Specifically, fig. 8 shows a block diagram of the predicted blocking degree determining unit 200 in the system provided by the embodiment of the present invention.
Among them, in the preferred embodiment provided by the present invention, the estimated resistance degree determining unit 200 specifically includes:
the road occupation condition determining module 201 is configured to analyze the traffic accident scene photographs and determine the road occupation condition of the damaged vehicle;
the traffic flow information acquisition module 202 is configured to acquire real-time traffic flow information of a road where the damaged vehicle is located based on the big data and the accident position information of the damaged vehicle;
the estimated blocking degree determining module 203 is configured to determine the estimated blocking degree of the road where the damaged vehicle is located according to the real-time traffic flow information of the road where the damaged vehicle is located and the road occupation situation of the damaged vehicle.
In the embodiment of the invention, when a background processing computer determines that a damaged vehicle still has driving conditions and can drive away from an accident road by itself, the background processing computer sends a traffic accident scene photo to a rescue agency processor intelligent terminal (mainly an intelligent computer), then the rescue agency processor analyzes the traffic accident scene photo contained in road rescue request information through a road occupation condition determining module 201, determines the lane condition of the road where the damaged vehicle is located and the specific road occupation condition of the damaged vehicle on the road where the damaged vehicle is located, then the background processing computer extracts damaged vehicle accident position information contained in road rescue request information, a traffic flow information obtaining module 202 obtains real-time traffic flow information of the damaged vehicle on the road where the damaged vehicle is located, corresponding to the damaged vehicle accident position information, and then the background processing computer sends the real-time traffic flow information of the road where the damaged vehicle is located to the rescue agency processor intelligent terminal;
for example, after the rescue agency processor views the traffic accident scene photo, it is determined that the road where the damaged vehicle is located has one-way four lanes, the damaged vehicle occupies two lanes, and after the rescue agency processor receives the real-time traffic flow information of the road where the damaged vehicle is located, it is determined that the traffic flow of the road where the damaged vehicle is located is lower, then the rescue agency processor can comprehensively determine that the predicted blocking degree of the road where the damaged vehicle is located is lower, for example, after the rescue agency processor views the traffic accident scene photo, it is determined that the road where the damaged vehicle is located has one-way three lanes, and the damaged vehicle occupies two lanes, then the rescue agency processor receives the real-time traffic flow information of the road where the damaged vehicle is located, it is determined that the traffic flow of the road where the damaged vehicle is located is lower, and the rescue agency processor can comprehensively determine that the predicted blocking degree of the road where the damaged vehicle is located is medium, for example, after the rescue agency processor views the traffic accident scene photo, it is determined that the road where the damaged vehicle is located has one-way two lanes, and the damaged vehicle occupies two lanes, and no matter how the traffic flow of the road where the damaged vehicle is located is higher;
it can be understood that in the case of no injury to a person, and when the damaged vehicle does not have a driving condition, the rescue priority can be set for the damaged vehicle according to the expected blocking degree of the road where the damaged vehicle is located by the rescue agency, that is, when the expected blocking degree of the road where the damaged vehicle is located is low, the rescue priority of the damaged vehicle by the rescue agency is low, and when the expected blocking degree of the road where the damaged vehicle is located is high, the rescue priority of the damaged vehicle by the rescue agency is high, and the purpose of the rescue priority setting is that, in the period of time of rush hours and frequent traffic accidents, the traffic police department can perform priority treatment for the damaged vehicle with high priority in the period of time, so that the traffic police department can avoid the congestion phenomenon of the road where the damaged vehicle with high priority (the expected blocking degree of the road where the damaged vehicle is high) caused by a large area and a long time.
Further, the system for automatic driving lane change decision further comprises:
the road waiting rescue information generating unit 300 is configured to acquire damaged vehicle accident position information of the damaged vehicle if it is determined that the predicted blocking degree of the road where the damaged vehicle is located is not serious, generate road waiting rescue information according to the damaged vehicle accident position information, and send the road waiting rescue information to a rescue organization;
the self-service driving-away information generating unit 400 is configured to generate self-service driving-away information if it is determined that the estimated blocking degree of the road where the damaged vehicle is located is serious, and send the self-service driving-away information to the user terminal and the rescue organization.
Specifically, fig. 9 shows a block diagram of a self-service travel-away information generating unit 400 in the system according to the embodiment of the present invention.
In a preferred embodiment of the present invention, the self-service driving-away information generating unit 400 specifically includes:
a damaged vehicle vicinity parking lot obtaining module 401, configured to obtain, if it is determined that the predicted degree of blockage of the road on which the damaged vehicle is located is serious, location information of a damaged vehicle vicinity parking lot and each parking lot according to the damaged vehicle accident location information;
a target parking lot determining module 402, configured to screen parking lots near the damaged vehicle, and determine a target parking lot that is the shortest distance from the damaged vehicle;
the self-service driving-away information generating module 403 is configured to generate self-service driving-away information according to the target parking lot and the corresponding location information thereof, and send the self-service driving-away information to the user terminal and the rescue organization.
In the embodiment of the invention, if rescue agency processing personnel judge that the predicted blocking degree of the road where the damaged vehicle is located is not serious, the road waiting rescue information generating unit 300 is used for acquiring the accident position information of the damaged vehicle, generating road waiting rescue information according to the accident position information of the damaged vehicle and sending the road waiting rescue information to the rescue agency, so that the rescue agency arrives at the accident position according to the accident position information of the damaged vehicle and carries out field treatment and rescue on the traffic collision accident of the damaged vehicle, and the rescue agency can carry out field treatment and rescue on the traffic collision accident of the damaged vehicle under the condition that the road traffic where the damaged vehicle is located is not influenced to a great extent so as to more accurately analyze the collision accident and determine responsibility of the collision accident;
the rescue organization should include traffic accident handling department (traffic police department) and vehicle rescue department, when the rescue organization processor judges the estimated degree of blockage of the road where the damaged vehicle is located is serious, in order to avoid the situation that the road where the damaged vehicle is located is large-area jammed caused by waiting for the rescue organization on the road where the damaged vehicle is located for a long time, the rescue organization processor firstly obtains the accident position information of the damaged vehicle through a background processing computer, then the damaged vehicle nearby parking lot obtaining module 401 obtains the parking lot nearby the damaged vehicle and the position information of each parking lot according to the accident position information of the damaged vehicle, then screens the parking lots nearby the damaged vehicle, the target parking lot determining module 402 determines the shortest target parking lot away from the damaged vehicle, and then the self-service driving information generating module 403 generates self-service driving information according to the target parking lot and the corresponding position information and sends the self-service driving information to the user terminal and the rescue organization;
it will be appreciated that after the self-service departure information is received by the user terminal, the damaged vehicle should be driven into the target parking area designated in the self-service departure information (if a plurality of accident vehicles exist, all accident vehicles should be notified to enter the target parking area), then the driver or passenger of the damaged vehicle waits for the rescue agency at the target parking area, after the self-service departure information is received by the rescue agency, the rescue team should also be dispatched to enter the target parking area designated in the self-service departure information to meet the damaged vehicle, and the accident handling scheme is discussed, and it is noted that before the damaged vehicle leaves the accident place, the driver or passenger of the damaged vehicle should ensure that the specific photograph of the vehicle collision and the specific damaged photograph of the vehicle are saved for subsequent accident responsibility and vehicle damage assessment;
preferably, the self-service driving-away information includes a target parking lot, position information corresponding to the target parking lot, and a route planning scheme between the damaged vehicle and the target parking lot, so that a driver of the damaged vehicle can accurately and conveniently enter the designated target parking lot according to the route planning scheme;
it can be understood that, in step S101, when the vehicle repairing mechanism repairs the failure of the damaged vehicle that cannot be driven in a short time, the background processing computer may generate self-service driving-away information according to the feedback information uploaded by the vehicle repairing mechanism, and send the self-service driving-away information to the user terminal and the rescue mechanism, so that the damaged vehicle that is originally determined by the background processing computer and does not have driving conditions may also drive away from the road and enter the target parking lot, thereby avoiding road congestion caused by waiting for the rescue mechanism and trailer service on the road where the damaged vehicle is located.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (3)
1. A traffic collision accident vehicle rescue method based on big data, the method comprising:
acquiring road rescue request information, and acquiring traffic accident scene photos of the damaged vehicle according to the road rescue request information;
analyzing the traffic accident scene photo and determining the predicted blocking degree of the road where the damaged vehicle is located;
if the estimated blocking degree of the road where the damaged vehicle is located is not serious, acquiring damaged vehicle accident position information of the damaged vehicle, generating road waiting rescue information according to the damaged vehicle accident position information, and sending the road waiting rescue information to a rescue organization;
if the estimated blocking degree of the road where the damaged vehicle is located is judged to be serious, self-service driving-away information is generated and sent to a user terminal and a rescue mechanism;
the step of obtaining the road rescue request information and obtaining the traffic accident scene picture of the damaged vehicle according to the road rescue request information comprises the following steps:
acquiring road rescue request information;
judging whether the damaged vehicle has driving conditions or not according to the road rescue request information;
if the damaged vehicle is determined to have driving conditions, acquiring a traffic accident scene photo according to road rescue request information;
the step of judging whether the damaged vehicle has driving conditions according to the road rescue request information comprises the following steps:
judging whether the damaged vehicle has driving conditions or not according to the road rescue request information;
if the damaged vehicle is determined to not have driving conditions, acquiring a damaged vehicle nearby automobile repair mechanism and position information of each automobile repair mechanism according to the damaged vehicle accident position information of the damaged vehicle;
screening the repair mechanisms near the damaged vehicle to determine a target repair mechanism with the shortest distance to the damaged vehicle;
acquiring contact information of a target repairing mechanism based on big data;
transmitting the accident position information of the damaged vehicle to a target automobile repair mechanism according to the contact information of the target automobile repair mechanism;
if the estimated blocking degree of the road where the damaged vehicle is located is judged to be serious, generating self-service driving-away information and sending the self-service driving-away information to the user terminal and the rescue organization, wherein the step of generating self-service driving-away information comprises the following steps of:
if the estimated blocking degree of the road where the damaged vehicle is located is judged to be serious, acquiring the parking lot near the damaged vehicle and the position information of each parking lot according to the accident position information of the damaged vehicle;
screening parking areas near the damaged vehicle to determine a target parking area with the shortest distance to the damaged vehicle;
and generating self-service driving-away information according to the target parking area and the corresponding position information thereof, and sending the self-service driving-away information to the user terminal and the rescue organization.
2. The method for rescuing vehicles from a traffic collision accident based on big data according to claim 1, wherein the step of analyzing the traffic accident scene picture to determine the predicted degree of obstruction of the road on which the damaged vehicle is located comprises:
analyzing the traffic accident scene photos to determine the road occupation condition of damaged vehicles;
acquiring real-time traffic flow information of a road where a damaged vehicle is located based on big data and accident position information of the damaged vehicle;
and comprehensively determining the estimated blocking degree of the road where the damaged vehicle is located according to the real-time traffic flow information of the road where the damaged vehicle is located and the road occupation condition of the damaged vehicle.
3. The traffic collision accident vehicle rescue method based on big data according to claim 1, wherein the self-service travel-away information includes a target parking lot, position information corresponding to the target parking lot, and a route planning scheme between the damaged vehicle and the target parking lot.
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