CN115909722A - A road resistance scheduling method and system applied to intelligent public transportation - Google Patents
A road resistance scheduling method and system applied to intelligent public transportation Download PDFInfo
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Abstract
The invention provides a road block scheduling method and system applied to an intelligent bus, aiming at a dynamic scheduling scheme when a road congestion situation occurs in the bus running process through a road block scheduling scene, under the situation, a bus scheduling system needs to detect the road congestion in real time based on manual feedback or vehicle-mounted state feedback of line operators and send a road block warning to a scheduling system administrator; the method comprises the following steps that a manager calls a road resistance real-time scheduling interface to redistribute a route for a vehicle related to the route and adjust a traveling plan of a subsequent bus; therefore, the stability of bus operation under abnormal events is ensured.
Description
Technical Field
The invention relates to the technical field of intelligent bus road block scheduling, in particular to a road block scheduling method and system applied to intelligent buses.
Background
For the vehicle scheduling problem under the condition of traffic road network congestion, in recent years, a series of researches improve the vehicle scheduling problem under the condition of road network congestion by means of advanced planning based on historical traffic data, dynamic adjustment of a running route based on real-time road resistance and the like, so that the operation efficiency of a traffic transport system and the adaptability of the traffic transport system to special conditions are improved.
The intelligent bus dispatching mainly focuses on the aspects of real-time dispatching control strategies, single-mode bus dispatching and the like, researches on road resistance processing methods in a bus running scene are few, road congestion conditions are mostly avoided through historical data analysis, and a road resistance corresponding scheme for sudden congestion situations is lacked; in addition, from the actual bus operation scene, unpredictable road resistance conditions are difficult to avoid, so that how to determine the operation form, departure interval and vehicle configuration of the buses under the urban traffic jam condition so as to formulate an emergency allocation strategy under the road resistance condition has important practical significance for relieving various problems of urban traffic and improving the travel quality of urban residents, and is also one of key technologies to be solved urgently by the intelligent bus scheduling system.
Therefore, it is urgently needed to provide a road block scheduling method and system applied to intelligent buses for the problem of bus dynamic scheduling under the condition of road block, starting from a dynamic adjustment mode of a bus running route aiming at the defects of the current intelligent bus road block scheduling scheme.
Disclosure of Invention
In view of this, the invention provides a road resistance scheduling method and system applied to an intelligent bus, and solves the problem that in the prior art, a road resistance coping scheme is lacked for a sudden congestion situation encountered on a road.
The technical scheme of the invention is realized as follows:
as a first aspect, the present invention provides a road resistance scheduling method applied to an intelligent bus, including the following steps:
step S1: acquiring position information and operation state information of a bus in real time, and uploading the acquired information to a cloud scheduling platform in real time;
step S2: the cloud scheduling platform judges the road resistance and the abnormal conditions of train crossing and the abnormal conditions of large intervals caused by the road resistance in real time through a road resistance and scheduling algorithm according to the position information and the operation state information of the bus;
and step S3: an operator confirms the current states of the road resistance and the traffic cluster and the large interval caused by the road resistance according to the abnormal conditions of the road resistance and the traffic cluster and the large interval caused by the road resistance, and the current state, the route and the station to be arrived at, makes a manual scheduling scheme, and sends a scheduling instruction through a cloud scheduling platform;
and step S4: dispatching personnel dispatch standby vehicles from a bus station according to a dispatching instruction, and dispatch the number of vehicles to the station according to the station, so that the average waiting time of passengers is reduced;
step S5: after vehicle scheduling is finished, the cloud scheduling platform collects the position of a road block according to the position information and the operation state information of the bus, determines the starting point and the ending point of a road block section, positions the operation line with the road block according to the road block section, and calculates whether the distance from a vehicle j to be driven to the block section on the line to the starting point of the block section reaches a threshold value or not;
step S6: transmitting the driving plan data of the scheduled vehicle to a cloud scheduling platform, and regenerating a bus operation driving plan;
step S7: and the cloud scheduling platform informs the passengers of the number of coming-to-stop cars and the waiting time through the passenger applet according to the newly generated bus operation driving plan.
On the basis of the above technical solution, preferably, in step S2, the way of determining the abnormal traffic jam and the abnormal large-interval condition caused by the road resistance is as follows: the method comprises the steps that people on a vehicle pay attention to the condition of a running road in real time, and if the running road in front of the vehicle is blocked, the position of the blocked road section is reported through an operation APP.
On the basis of the above technical solution, preferably, in step S2, the way of determining the abnormal traffic jam and the abnormal large-interval condition caused by the road resistance is as follows: estimating the displacement and the average speed of the vehicle within a period of time delta t through position information uploaded by a vehicle end of the vehicle running on the road in real time;
function for determining displacement amount of vehicle:
L_Δt≤τ,
average speed of vehicle judgment function:
V_Δt≤σ,
wherein L _ delta t is the displacement of the vehicle within delta t time, tau is the minimum value of the displacement of the vehicle, V _ delta t is the running speed of the vehicle within delta t time, and sigma is the minimum value of the average speed of the vehicle; and judging the blocking condition of the road where the vehicle is located according to the displacement and the average speed of the vehicle.
On the basis of the above technical solution, preferably, in step S5, a distance function of the number j of vehicles on the route from the starting point of the congested road segment is as follows:
the function is:
wherein,for the driving position of a vehicle j on a line t>For the starting point of the blocked section of the line t, L max Is a distance threshold.
As a second aspect, the present invention provides a road block dispatching system applied to an intelligent bus, comprising a bus-mounted system, a mobile service system, a platform system and a station system, which are respectively connected with a cloud dispatching platform in a wireless communication manner, and performing any one of the above methods, wherein,
the bus-mounted system is used for acquiring the position information and the operation state information of the bus in real time, uploading the acquired information to the cloud scheduling platform through the vehicle-mounted mobile communication terminal, or executing a command issued by the cloud scheduling platform;
the mobile service system is used for customizing the bus trip information service capability according to the position information and the operation state information of the bus;
the platform system is used for monitoring platform passenger flow and platform information query, and pre-broadcasting the arrival of the bus according to the position information and the operation state information of the bus;
the station system consists of a bus parking lot and a bus command center large screen and is used for video monitoring equipment and inter-station networking equipment.
On the basis of the technical scheme, preferably, the public transport vehicle is an automatic driving vehicle with the L3 level and above.
On the basis of the technical scheme, preferably, the mobile service system is composed of a passenger APP/applet and an operator APP, and customized bus trip information service capacity is realized and comprises passenger end service, operator end service, operation settlement monitoring analysis, attendance rate and station passenger flow.
On the basis of the above technical solution, preferably, the platform system includes an electronic station board and a video monitoring device, and the platform information query includes a line query, a site query, a shift query and a transfer query.
As a third aspect, the present invention provides a computer readable storage medium storing one or more programs, the computer readable storage medium storing one or more program instructions, which when executed by a processor, perform any of the methods described above.
As a fourth aspect, the present invention provides a computer, including a central processing unit, a computer-readable memory, and a data bus, where the central processing unit and the computer-readable memory are connected by the data bus, and the central processing unit executes any one of the above methods according to an operation instruction stored in the computer-readable memory.
Compared with the prior art, the invention has the following beneficial effects:
aiming at a dynamic scheduling scheme when a road congestion situation occurs in the running process of a bus through a road congestion scheduling scene, in the situation, a bus scheduling system needs to detect the road congestion in real time based on manual feedback or vehicle-mounted state feedback of line operators and send a road congestion warning to a scheduling system administrator; the method comprises the following steps that a manager calls a road resistance real-time scheduling interface to redistribute a route for a vehicle related to the route and adjust a traveling plan of a subsequent bus; therefore, the stability of bus operation under abnormal events is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flow chart of a road resistance scheduling method applied to an intelligent bus in the invention;
FIG. 2 is a block diagram of a road resistance detection and scheduling algorithm according to the present invention;
FIG. 3 is a diagram illustrating data flow for road block scheduling according to the present invention;
fig. 4 is a structural diagram of a road block dispatching system applied to an intelligent bus in the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
As shown in fig. 1-4, the embodiment of the invention discloses a road block scheduling method applied to an intelligent bus, comprising the following steps:
step S1: acquiring position information and operation state information of a bus in real time, and uploading the acquired information to a cloud scheduling platform in real time;
step S2: the cloud scheduling platform judges the road resistance and the abnormal conditions of train crossing and the abnormal conditions of large intervals caused by the road resistance in real time through a road resistance and scheduling algorithm according to the position information and the operation state information of the bus;
and step S3: an operator confirms the current states of the road resistance and the traffic cluster and the large interval caused by the road resistance according to the abnormal conditions of the road resistance and the traffic cluster and the large interval caused by the road resistance, and the current state, the route and the station to be arrived at, makes a manual scheduling scheme, and sends a scheduling instruction through a cloud scheduling platform;
and step S4: dispatching personnel dispatch standby vehicles from a bus station according to a dispatching instruction, and dispatch the number of vehicles to the station according to the station, so that the average waiting time of passengers is reduced;
step S5: after vehicle scheduling is finished, the cloud scheduling platform collects the position of the road block according to the position information and the operation state information of the bus, determines the starting point and the ending point of the road block section, positions the operation line with the road block according to the road block section, and calculates the vehicle which is going to drive to the block section on the line;
step S6: transmitting the driving plan data of the scheduled vehicle to a cloud scheduling platform, and regenerating a bus operation driving plan;
step S7: and the cloud scheduling platform informs the passengers of the number of coming-to-stop cars and the waiting time through the passenger applet according to the newly generated bus operation driving plan.
Specifically, the road block refers to a road block point on the operation running route of the bus; the train crossing means that the distance between two or more vehicles is too close in the running process of the bus operation; the large interval means that the time for a passenger to wait for the arrival of the bus is longer than the planned time in the driving schedule in the bus operation driving process; the number of the vehicles is the route of the vehicles, wherein the route comprises an uplink and a downlink, and the number of the vehicles is one trip from a starting station to a terminal station; the round trip is two times, which can be called as the time in the industry; the station is a station in a bus operation mode, and the coverage rate of the station within 500 meters is more than 90%.
The road congestion scheduling scene aims at a dynamic scheduling scheme when a road congestion situation occurs in the bus running process, in this case, a bus scheduling system needs to detect the road congestion in real time based on manual feedback or vehicle-mounted state feedback of line operators and send a road congestion warning to a scheduling system administrator; and the administrator performs route redistribution and trip plan adjustment of subsequent buses for the vehicle related to the route by calling the road resistance real-time scheduling interface.
Aiming at the influence of weather, road traffic environment and emergencies in the actual bus operation, the operation shift of the bus can not arrive and depart according to the requirements of a driving schedule; when the line vehicle can not run according to the static schedule, the operation cost of the public transport operation system is increased and the waiting time of passengers is prolonged; therefore, the system can detect special conditions such as road resistance, traffic congestion and passenger flow abnormity in real time, carry out emergency scheduling when an event occurs, and reallocate system resources, thereby ensuring the stability of bus operation under the abnormal event.
Preferably, in step S2, the way of determining the abnormal traffic crossing and the abnormal large-interval condition caused by the road resistance is as follows: the method comprises the steps that people on a vehicle pay attention to the condition of a running road in real time, and if the running road in front of the vehicle is blocked, the position of the blocked road section is reported through an operation APP.
Preferably, in step S2, the way of determining the abnormal traffic crossing and the abnormal large-interval condition caused by the road resistance is as follows: estimating the displacement and the average speed of the vehicle within a period of time delta t through position information uploaded by a vehicle end of the vehicle running on the road in real time;
function for determining displacement amount of vehicle:
L_Δt≤τ,
average speed of vehicle determination function:
V_Δt≤σ,
wherein L _ delta t is the displacement of the vehicle within delta t time, tau is the minimum value of the displacement of the vehicle, V _ delta t is the running speed of the vehicle within delta t time, and sigma is the minimum value of the average speed of the vehicle; and judging the blocking condition of the road where the vehicle is located according to the displacement and the average speed of the vehicle.
Specifically, if the displacement and the average speed of the vehicle are smaller than a certain threshold value, and the vehicle does not have special problems such as waiting for passengers to get on or off the vehicle at a platform and vehicle operation faults in delta t, it is determined that the road in front of the vehicle is blocked, and the blocked position is positioned as the current driving road of the vehicle.
Preferably, in step S5, the distance function of the j number of vehicles on the route from the starting point of the congested road segment is:
wherein,for the driving position of a vehicle j on a line t>For the starting point of the blocked section of the line t, L max Is a distance threshold.
Specifically, if the vehicles on the line meet the conditions, the dispatching system sends a jam early warning to the vehicle and informs the position of a jammed road section, and the personnel on the vehicle avoid the jammed road section according to a vehicle-mounted high-precision map of the automatic driving vehicle and plan the driving path of the vehicle again.
The embodiment of the invention also discloses a road resistance dispatching system applied to the intelligent bus, which comprises a bus-mounted system, a mobile service system, a platform system and a station system which are respectively in wireless communication connection with the cloud dispatching platform, and executes any one of the methods,
the bus-mounted system is used for acquiring the position information and the operation state information of the bus in real time, uploading the acquired information to the cloud scheduling platform through the vehicle-mounted mobile communication terminal, or executing a command issued by the cloud scheduling platform;
the mobile service system is used for customizing the bus trip information service capability according to the position information and the operation state information of the bus;
the platform system is used for monitoring platform passenger flow and platform information query, and pre-broadcasting the arrival of the bus according to the position information and the operation state information of the bus;
the station system consists of a bus parking lot and a bus command center large screen and is used for video monitoring equipment and inter-station networking equipment.
Specifically, the bus-mounted system, the mobile service system, the platform system and the station system are in wireless communication connection with a cloud scheduling platform through a 4G or 5G mobile communication network respectively, and the cloud scheduling platform realizes rationalization of vehicle driving plan and schedule formulation and automation of machine algorithm and operates according to a vehicle operation plan; the real-time process monitoring of the vehicle operation is realized; performing holographic sensing and multi-source fusion on basic data of buses, lines, stations, operators and the like and dynamic data of GPS (global positioning system), scheduling, balance and the like; based on a visual means, driving a bus monitoring, diagnosing, optimizing and evaluating business governing closed loop, constructing a bus data brain center, and displaying a series of bus business data on a visual large screen.
The bus-mounted system comprises a vehicle-mounted mobile communication terminal, a camera, passenger flow information acquisition equipment and the like. The system realizes the real-time collection of vehicle position information and operation state information, comprehensively monitors the running state of the vehicle and counts the number of passengers getting on or off the vehicle in real time; and vehicle operation data acquisition is provided for the cloud scheduling platform, and the instruction issued by the cloud scheduling platform is executed.
The station system mainly comprises a bus parking lot and a bus command center large screen; the bus parking lot mainly comprises video monitoring equipment and inter-site networking equipment; the command center large screen is divided into an LED display system, an image and audio processing system, a transmission control system and the like; and executing the instruction issued by the cloud scheduling platform, and displaying the operation condition monitoring, counting and analyzing results of the bus through a large screen of the command center.
Preferably, the public transport vehicle is an automatic driving vehicle with the L3 level and above.
Preferably, the mobile service system is composed of a passenger APP/applet and an operator APP, and customized bus trip information service capacity is realized, wherein the customized bus trip information service capacity comprises passenger end service, operator end service, operation settlement monitoring analysis, attendance rate and station passenger flow.
Preferably, the platform system comprises an electronic station board and a video monitoring device, and the platform information query comprises a line query, a station query, a shift query and a transfer query.
Specifically, the platform system mainly achieves a bus information inquiry function such as a station passenger flow volume counting function, a platform monitoring function, a line, a station, a shift and transfer function, a station arrival pre-broadcasting function, multimedia voice, platform monitoring and a series of services, and executes an instruction issued by the cloud scheduling platform.
The embodiment of the invention also discloses a computer readable storage medium storing one or more programs, wherein the computer readable storage medium stores one or more program instructions, and the program instructions are executed by a processor to implement any one of the methods.
The embodiment of the invention also discloses a computer, which comprises a central processing unit, a computer readable memory and a data bus, wherein the central processing unit is in data connection with the computer readable memory through the data bus, and the central processing unit executes any one of the methods according to the operating instructions stored in the computer readable memory.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
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Cited By (2)
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| CN116504089A (en) * | 2023-06-27 | 2023-07-28 | 东风悦享科技有限公司 | Unmanned public transport cluster flexible scheduling system based on road surface damage factors |
| CN116631210A (en) * | 2023-04-20 | 2023-08-22 | 浪潮智慧科技有限公司 | A vehicle-road coordination method, device and medium for intelligent public transportation |
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