CN113870548A - Traffic management apparatus, corresponding method, server, computer device, and medium - Google Patents
Traffic management apparatus, corresponding method, server, computer device, and medium Download PDFInfo
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- CN113870548A CN113870548A CN202010612361.7A CN202010612361A CN113870548A CN 113870548 A CN113870548 A CN 113870548A CN 202010612361 A CN202010612361 A CN 202010612361A CN 113870548 A CN113870548 A CN 113870548A
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- 238000000034 method Methods 0.000 title description 17
- 238000007726 management method Methods 0.000 claims abstract description 55
- 238000004891 communication Methods 0.000 claims abstract description 26
- 238000001514 detection method Methods 0.000 claims abstract description 14
- 230000004044 response Effects 0.000 claims description 24
- 238000004590 computer program Methods 0.000 claims description 13
- 230000001133 acceleration Effects 0.000 claims description 11
- 238000004088 simulation Methods 0.000 claims description 9
- 230000002459 sustained effect Effects 0.000 claims description 4
- 238000012806 monitoring device Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 2
- 206010049976 Impatience Diseases 0.000 description 1
- 206010039203 Road traffic accident Diseases 0.000 description 1
- 208000003028 Stuttering Diseases 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000000116 mitigating effect Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- 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
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- 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
- G08G1/0133—Traffic data processing for classifying traffic situation
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096708—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
- G08G1/096725—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control where the received information generates an automatic action on the vehicle control
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- Chemical & Material Sciences (AREA)
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- Life Sciences & Earth Sciences (AREA)
- Atmospheric Sciences (AREA)
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention relates to a traffic management device, a corresponding traffic management method, a server, a computer device and a medium. The traffic management device includes: a detection unit configured to detect that there is rigid traffic in the traffic area of interest; an identification unit configured to identify that the impasse traffic relates to one or more intelligent transportation participants; a communication unit configured to send a control command related to movement of an interested intelligent transportation participant of the one or more intelligent transportation participants. With the solution of the present invention, the presence of rigid traffic in a traffic area of interest can be identified and remote control commands for intelligent traffic participants can be provided to guide the intelligent traffic participants to move when the identified rigid traffic relates to the intelligent traffic participants, thus enabling the relief of rigid traffic and problems that may be caused by the rigid traffic.
Description
Technical Field
The present invention relates to the field of vehicles, and in particular, to a traffic management apparatus, and a corresponding traffic management method, server, computer device, and computer-readable storage medium.
Background
Stiff traffic often occurs at places such as road intersections or parking lots. For example, aggressive drivers, traffic accidents, violations, etc. may cause stuttering traffic. In addition, impatience traffic may also occur in situations involving intelligent transportation participants, such as autonomous vehicles.
Disclosure of Invention
Embodiments of the present invention provide a traffic management apparatus, and a corresponding traffic management method, server, computer device and computer-readable storage medium, which are capable of at least mitigating impatient traffic and problems that may result therefrom in a traffic area of interest.
A traffic management apparatus according to an embodiment of the present invention includes:
the detection unit is configured to detect that rigid traffic exists in a traffic area of interest;
an identification unit configured to identify that the impasse traffic relates to one or more intelligent transportation participants;
a communication unit configured to send a control command related to movement of an interested intelligent transportation participant of the one or more intelligent transportation participants.
A server according to an embodiment of the present invention includes the traffic management apparatus described above.
A traffic management method according to an embodiment of the present invention includes:
detecting the existence of rigid traffic in an interested traffic area;
identifying that the impasse traffic involves one or more intelligent transportation participants;
sending a control command related to movement of an interested intelligent transportation participant of the one or more intelligent transportation participants.
A computer device according to an embodiment of the invention comprises a memory, on which a computer program is stored, and a processor, which computer program, when executed by the processor, causes the above-mentioned traffic management method to be performed.
A non-transitory computer-readable storage medium according to an embodiment of the invention has stored thereon a computer program which, when executed by a processor, causes the above-described traffic management method to be performed.
With the solution of the present invention, the presence of rigid traffic in a traffic area of interest can be identified and remote control commands for intelligent traffic participants can be provided to guide the intelligent traffic participants to move when the identified rigid traffic relates to the intelligent traffic participants, thus enabling the relief of rigid traffic and problems that may be caused by the rigid traffic.
Drawings
Non-limiting and non-exhaustive embodiments of the present invention are described by way of example with reference to the following drawings, in which:
FIG. 1 is a schematic diagram illustrating a traffic management device according to one embodiment of the present invention;
fig. 2 is a schematic view showing a traffic management apparatus according to another embodiment of the present invention;
fig. 3 is a flow diagram illustrating a traffic management method according to one embodiment of the invention.
Detailed Description
Fig. 1 schematically shows a traffic management device 100 according to an embodiment of the invention.
As shown in fig. 1, the traffic management device 100 may include a detection unit 101, an identification unit 102, and a communication unit 103. The detection unit 101 is communicatively coupled with the identification unit 102, and in addition the identification unit 102 is communicatively coupled with the communication unit 103. The traffic management device 100 may be located on a server that may communicate with the traffic participants by any suitable communication technology, including, for example, but not limited to, a mobile communication network, Wi-Fi, or bluetooth, etc. Here, "traffic participant" is to be understood broadly and may be any object on or above the road that participates in road traffic and/or occupies the road, such as pedestrians, cyclists, vehicles, etc.
The detection unit 101 may be configured to detect the presence of immortal traffic in a traffic area of interest. Here, "traffic area of interest" is to be understood in a broad sense and can be any possible area in which a traffic participant is suitable to participate in traffic or to occupy space. For example, the traffic region of interest may be a road intersection or any other road region, such as a certain road region on a city road, in a parking lot or other place.
In one embodiment, when the detection unit 101 detects that the number of the transportation participants in the stagnation state in the transportation area of interest is greater than a predetermined number threshold, the detection unit detects that there is rigid traffic in the transportation area of interest. In one embodiment, a traffic participant may be considered to be in a stalled state when the speed of the traffic participant is 0 or less than a predetermined speed threshold. The predetermined speed threshold value may be appropriately determined according to the situation. For example, the predetermined speed threshold may be a fixed value, such as a value of 2 kilometers per hour, 3 kilometers per hour, or greater or less. The predetermined speed threshold may be variable, as desired, depending, for example, on the traffic demand of the traffic zone of interest or any other possible factor. The predetermined number threshold may be determined in any suitable manner. For example, the predetermined number threshold may be determined based on the total size of the traffic zone of interest. As another example, the predetermined number threshold may be determined based on a size of an effective traffic area within the traffic zone of interest that is suitable for use by traffic participants.
The detection by the detection unit 101 may be based on traffic related information, in particular within the traffic area of interest. The traffic-related information may be obtained in any suitable manner, such as by various sources capable of providing information, such as on-board Global Navigation Satellite Systems (GNSS), high-altitude autonomous driving (HAD) maps, online servers, vehicles, and/or available infrastructure, and the like. In one embodiment, the traffic-related information may include traffic-related data uploaded by various data providers. In one embodiment, the data provider may include a vehicle or a roadside traffic monitoring device disposed at the roadside. The roadside traffic monitoring device is provided with various sensors (such as a camera, a laser radar, a millimeter wave radar, an ultrasonic sensor and/or a velocimeter and the like), and the roadside traffic monitoring device can collect traffic related data of traffic participants nearby the roadside traffic monitoring device and upload the traffic related data to a server. In one embodiment, the data provider is a vehicle, and the traffic-related data uploaded by the vehicle may include the location, orientation, speed, status of vehicle components, etc. of the vehicle. The position of the vehicle may be obtained by any suitable means, such as, but not limited to, GNSS or real time kinematic carrier-phase differential (RTK) techniques. The orientation of the vehicle may be obtained by any suitable means, such as, but not limited to, using an orientation gyroscope or the like. The speed of the vehicle may be obtained in any suitable manner, such as, but not limited to, using onboard sensors, navigation devices, and the like. In another embodiment, the data provider is a vehicle, and the traffic-related data uploaded by the vehicle may include the position, orientation, speed, status of vehicle components, etc. of the vehicle, as well as the position, orientation, speed, etc. of other traffic participants (e.g., other vehicles, riders, pedestrians, etc.) surrounding or in communication with the vehicle that the vehicle obtains. The location, orientation, speed, etc. of the other transportation participant may be obtained using sensors on the vehicle as a data provider or through inter-vehicle communication, etc. The sensor may include, for example, a camera, a lidar, a millimeter wave radar, an ultrasonic sensor, and the like. In yet another embodiment, the data provider is a roadside traffic monitoring device, and the traffic-related data uploaded by the roadside traffic monitoring device may include the location, orientation, speed, etc. of traffic participants (e.g., vehicles, riders, pedestrians, etc.) surrounding the roadside traffic monitoring device. Such vehicle components include, for example, components related to a vehicle driving condition, such as a driving speed, such as, but not limited to, an engine of the vehicle, components of a steering system, such as a steering wheel, components of a braking system, such as a brake pedal, components of a transmission system, and the like. For example, information required to determine a traffic area of interest such as the size of a road intersection, an effective traffic area, and the like can be acquired through the HAD map.
The identifying unit 102 may be configured to identify that the impasse traffic detected by the detecting unit 101 relates to one or more intelligent transportation participants. Here, "intelligent transportation participant" is to be understood broadly and may include any transportation participant that can move, travel on its own, actively and/or in response to remote control commands. For example, intelligent transportation participants may include autonomous vehicles, intelligent logistics vehicles, and the like. The intelligent transportation participant may be a manned or unmanned vehicle.
The identification unit 102 may identify the intelligent transportation participant in any suitable manner. In one embodiment, the identification unit 102 determines the type (e.g., vehicle, rider, pedestrian, etc.) of the traffic participant involved in the impasse traffic and possible identity information (e.g., for the vehicle traffic participant) from the information about the traffic participant that can be acquired from the detection unit 101, and identifies whether the traffic participant (e.g., vehicle traffic participant) determined to be possible an intelligent traffic participant according to the type is an intelligent traffic participant based on its identity information and available vehicle registration/registration information. For a vehicle, its identity information may include, but is not limited to, the license plate number of the vehicle. The registration/registration information of the vehicle may generally include the model number, license plate number, and the like of the vehicle. By matching the identity information of the vehicular traffic participant involved in impatient traffic with the available vehicle registration/registration information, it can be identified whether the vehicular traffic participant is an intelligent traffic participant such as an autonomous vehicle. In another embodiment, the identification unit 102 identifies whether each of the transportation participants involved in impatient traffic is an intelligent transportation participant based on information about the appearance of the transportation participants, which can be acquired from the detection unit 101. For example, for a traffic participant determined to be a vehicle traffic participant by appearance, the recognition unit 102 may determine its model based on its appearance, thereby determining whether it is an intelligent traffic participant.
The communication unit 103 may be configured to send a control command related to the movement of an interested intelligent transportation participant of the one or more intelligent transportation participants identified by the identification unit 102. For example, the communication unit 103 may automatically generate control commands to indicate movement of an interested intelligent transportation participant. Alternatively or additionally, the communication unit 103 may generate a control command in response to receiving one or more control inputs.
Fig. 2 schematically shows a traffic management device 100' according to another embodiment of the invention.
With respect to the traffic management device 100 of fig. 1, the traffic management device 100' further includes an information providing unit 104, a marking unit 105, a selecting unit 106, and a command generating unit 107. The information providing unit 104 is communicatively coupled with the detection unit 101, the tagging unit 105 is communicatively coupled with the information providing unit 104 and communicatively coupled with the recognition unit 102, the selection unit 106 is communicatively coupled with the tagging unit 105, and the command generating unit 107 is communicatively coupled with the selection unit 106 and communicatively coupled with the communication unit 103.
The information providing unit 104 may be configured to provide warning information indicating the impatient traffic in response to the detection unit 101 detecting the impatient traffic. The alert information may include visual and/or audio information. The alert information may be provided, for example, by a display screen and/or speaker included in and/or adapted to be communicatively coupled with the information providing unit 104. Alternatively or additionally, the information providing unit 104 may be configured to provide traffic information visualizing the impatient traffic. The traffic information may be provided, for example, by a display screen included in and/or adapted to be communicatively coupled to the information providing unit 104. The traffic information visualized may include surveillance videos of traffic areas of interest, such as road intersections. The traffic participants involved in the impatient traffic and the conditions, such as relative positions, of the traffic participants can be displayed in a two-dimensional or three-dimensional form in the surveillance video.
The marking unit 105 may be configured to mark the one or more intelligent transportation participants identified by the identifying unit 102 in the visualized traffic information. For example, the marking unit 105 may highlight the intelligent traffic participant in any possible manner (e.g., in a conspicuous color, in a highlight, etc.) on the visualized surveillance video, thereby marking the intelligent traffic participant. In one embodiment, the marking unit 105 may mark the intelligent transportation participant only if the information providing unit 104 provides the alert message.
The selection unit 106 may be configured to: in response to receiving a selection input, selecting one of the one or more intelligent transportation participants as the intelligent transportation participant of interest. In one embodiment, in response to one of the marked one or more intelligent transportation participants displayed on the display screen being selected, the selection unit 106 may regard the selected intelligent transportation participant as the intelligent transportation participant of interest. The selection input may be received via any suitable input device, such as a mouse, touch screen, etc. For example, the display screen of one or more intelligent transportation participants marked by the display marking unit 105 may be a touch screen. The selection unit 106 may comprise and/or be adapted to be communicatively coupled to the display screen.
In one embodiment, the selection unit 106 may automatically select one of the identified intelligent transportation participants as the intelligent transportation participant of interest. For example, the selection unit 106 may select the interested intelligent transportation participant to which the control command is to be sent on its own based on the identified conditions, such as relative position, surrounding free space, etc., where the intelligent transportation participant is located in the impasse traffic. In this case, the selection unit 106 may be directly communicatively coupled (not shown) with the identification unit 102, and the traffic management device may or may not include the information providing unit 104 and the marking unit 105.
The command generating unit 107 may be configured to generate the control command in response to the received control input. The control input may be any suitable form of input that may be received via any suitable input device, such as a mouse, touch screen, joystick, analog component, etc., that the command generation unit 107 includes and/or is adapted to be communicatively coupled to. The control command may be defined by the control input. By way of example, for the control commands and control inputs, there may be four example scenarios as follows:
i. the control command indicates a target position and a driving direction of the intelligent transportation participant of interest, the control input including an input defining the target position and the driving direction;
the control command indicates a travel trajectory of the intelligent traffic participant of interest, the control input comprising an input defining the travel trajectory;
the control command indicates a target steering angle, a target acceleration or deceleration, a target speed of the intelligent transportation participant of interest, the control input comprising an input defining the target steering angle, the target acceleration or deceleration, the target speed;
the control command is indicative of operation of at least one operational component of the intelligent transportation participant of interest, the control input comprising simulated driving input generated by operation of a simulation component that simulates the at least one operational component.
In case i, the control input may comprise two consecutive touch inputs, for example, via a touch screen. In one embodiment, the control input comprises a single click input on the touch screen defining the target position and a single swipe on the touch screen defining the direction of travel. The place on the touch screen where the one-click input is received may correspond to the target position, and the sliding direction of the sliding operation on the touch screen corresponds to the traveling direction. In this way, in response to the control input, the command generation unit 107 may generate a control command indicating the target position and the traveling direction of the interested intelligent transportation participant. The control command may be provided to the communication unit 103 and sent by the communication unit to the interested intelligent transportation participant. In response to the control command, the interested intelligent transportation participant can move to the target position indicated by the control command according to the driving direction indicated by the control command and park at the target position.
In case ii, the control input may comprise a one-touch input, e.g. via a touch screen, e.g. a one-slide on the touch screen defining said travel trajectory. The end point of the travel trajectory may be defined where the sliding operation on the touch screen ends, and the sliding direction of the sliding operation on the touch screen may define the direction of the travel trajectory. In this way, in response to the control input, the command generation unit 107 may generate a control command indicating the travel trajectory of the interested intelligent transportation participant. The control command may be provided to the communication unit 103 and sent by the communication unit to the interested intelligent transportation participant. In response to the control command, the interested intelligent transportation participant can move to the end point of the travel track according to the travel track indicated by the control command and park at the end point.
In case iii, the control input may comprise one or more input sequences, for example via operating keys. The operation keys may be adapted to receive a pressing input and may be various possible operation keys. For example, the operational keys may include a plurality of keys displayed on the touch screen, each key corresponding to a different surface area of the touch screen. For another example, the operation key may be provided in the form of a manipulation handle including a plurality of keys on the manipulation handle. In one embodiment, the operation keys include an "up" key, a "down" key, a "left" key, and a "right" key. The "up" key and the "down" key are used to receive input indicating a direction of travel, e.g., pressing the "up" key may indicate an acceleration of forward travel or a deceleration of backward travel, and pressing the "down" key may indicate a deceleration of forward travel or an acceleration of backward travel. The "left" key and the "right" key are used to receive input indicating a steering direction, e.g., a "left" key pressed may indicate a steering direction turning to the left and a "right" key pressed may indicate a steering direction turning to the right. Alternatively, the duration and/or number of times each of the "up" key and the "down" key is pressed may indicate a magnitude of a value of a respective acceleration or deceleration, a time and/or distance to travel to a respective direction of travel, and the duration and/or number of times each of the "left" key and the "right" key is pressed may indicate a steering angle to steer to the respective direction. In this way, in response to the control input, the command generation unit 107 may generate control commands indicating the direction of travel, acceleration or deceleration, speed and steering angle of the intelligent transportation participant of interest. The control command may be provided to the communication unit 103 and sent by the communication unit to the interested intelligent transportation participant. In response to the control command, the interested intelligent transportation participant may move in the direction of travel, acceleration or deceleration, speed, and steering angle indicated by the control command.
In case iiii, the control input may comprise, for example, a simulated driving input generated by a simulation component. The simulation component may be adapted to be directly operated and/or indirectly manipulated to simulate operation of at least one operational component of an intelligent transportation participant of interest, which may be in various possible forms. For example, the simulation element may be a physically simulated driving element that is physically present and adapted to be directly manipulated. As yet another example, the simulated component may be a virtual simulated steering component adapted to be indirectly manipulated via a console or joystick. Alternatively, the different simulation components simulating different vehicle components may be separate or may be incorporated into a single integrated simulator. In the case where the intelligent transportation participant of interest is an intelligent vehicular transportation participant, such as an autonomous vehicle, the at least one operating component may include, for example and without limitation, a steering wheel, a brake pedal, an accelerator pedal, a shifting component, etc. of the vehicle. The simulation components simulating the steering wheel, brake pedal, accelerator pedal, gear shifting component, etc. of the vehicle may accordingly be a simulated steering wheel, a simulated brake pedal, a simulated accelerator pedal, a simulated gear shifting component, etc., respectively. In response to the simulated driving input generated by the one or more simulation components, the command generation unit 107 may generate a control command indicating the respective operations of the one or more corresponding operation components of the intelligent transportation participant of interest. The control command may be provided to the communication unit 103 and sent by the communication unit to the interested intelligent transportation participant. In response to the control command, the one or more operating components of the interested intelligent transportation participant may each operate according to its operation indicated by the control command.
In either case, for an interested intelligent transportation participant who is an autonomous vehicle, the movement and operation of the interested intelligent transportation participant in accordance with the control command can be achieved by controlling a powertrain system, a steering system, a transmission system, and/or a braking system of the vehicle via an auxiliary driving system of the autonomous vehicle.
Autonomous vehicles are known per se in the art and are not described in detail here, but merely exemplify some of the features that they may optionally have:
the autonomous vehicle may be equipped with sensors, such as cameras, millimeter wave radars, lidar, ultrasonic sensors, etc., to sense by the sensors, e.g. to detect objects, obstacles, infrastructure, etc. around the vehicle;
the autonomous vehicle is adapted to perform vehicle-to-vehicle communication and/or to communicate with an online server or database, e.g. accessible HAD maps or the like;
the autonomous vehicle may have a positioning function, for example its own position may be determined by one or a combination of: GNSS, HAD maps, data sensed by sensors;
the autonomous vehicle may have a navigation function, for example connectable to an online server, by means of which a navigation route is determined;
autonomous vehicles may have path planning functions, e.g. route and path planning may be performed based on sensing of sensors and self-positioning results;
the autonomous vehicle may have a central controller, for example by which: and sending control signals to the power assembly system, the steering system and the transmission system based on the planned path to follow the planned path, receiving instructions to control other vehicle-mounted components and the like.
Alternatively, the communication unit 103 may receive feedback information from the interested intelligent transportation participants. The feedback information may for example indicate that the interested intelligent transportation participant is unable to execute the control command sent to it by the communication unit 103. In response to receiving the feedback information, the communication unit 103 may provide a corresponding indication. In this case, a new control command for the same interested intelligent traffic participant may be generated, or a further interested intelligent traffic participant may be selected, a control command for the further interested intelligent traffic participant generated, a control command sent to the further interested intelligent traffic participant.
The server on which the traffic management device is located may be operated and controlled by a traffic authority, for example, may be located at the traffic authority. The selection input and the control input may be from a traffic authority, for example, by a traffic manager such as a traffic police.
Fig. 3 shows a flow diagram of a traffic management method 300 according to an embodiment of the invention. The traffic management method may be implemented using the traffic management device of the present invention as described above.
In step S301, it is detected that there is rigid traffic in a traffic area of interest.
After step S301, the process proceeds to step S302.
In step S302, one or more intelligent transportation participants involved in the impassed transportation are identified.
After step S302, the process proceeds to step S303.
In step S303, a control command related to the movement of an interested intelligent transportation participant is sent to the interested intelligent transportation participant of the one or more intelligent transportation participants.
In one embodiment, the traffic management method further comprises: in response to the sustained traffic being detected, providing alert information indicative of the sustained traffic.
In one embodiment, the traffic management method further comprises: providing traffic information visualizing the impatient traffic; and marking the one or more intelligent traffic participants in the traffic information.
In one embodiment, the traffic management method further comprises: in response to receiving a selection input, selecting one of the one or more intelligent transportation participants as the intelligent transportation participant of interest; and generating the control command in response to the received control input.
Each of the above steps may be performed by a respective unit of the traffic management device of the present invention, as described above in connection with fig. 1 and 2. In addition, the respective operations and details as described above in connection with the respective units of the traffic management apparatus of the present invention may be included or embodied in the traffic management method of the present invention.
Although embodiments of the present invention are described above in connection with intelligent transportation participants, aspects of the present invention are not limited to use with intelligent transportation participants. The inventive solution can be used to identify any vehicle traffic participant (intelligent or not), send a control command to one of the identified vehicle traffic participants interested in directing their movement; in this regard, the contents described above in connection with intelligent transportation participants may be equally applicable, except for the following two points. First, for any vehicle traffic participant, who may be identified in any suitable manner, reference may be made, for example, to some of the contents described above with respect to identifying intelligent traffic participants. Second, in the case where the interested traffic participant to whom the control command is sent is a non-intelligent vehicle traffic participant, the control command may be translated into a command that can be understood by a human driver of the non-intelligent vehicle traffic participant for the human driver to execute the control command.
The invention is particularly advantageous when applied to rigid traffic involving intelligent traffic participants, such as autonomous vehicles.
It should be understood that the various elements of the traffic management device of the present invention may be implemented in whole or in part by software, hardware, firmware, or a combination thereof. The units may be embedded in a processor of the computer device in a hardware or firmware form or independent of the processor, or may be stored in a memory of the computer device in a software form for being called by the processor to execute operations of the units. Each of the respective units may be implemented as an independent component or module, or two or more units may be implemented as a single component or module.
It will be appreciated by persons skilled in the art that the schematic diagrams of the apparatus shown in fig. 1 and 2 are merely illustrative block diagrams of portions of structures associated with aspects of the present invention and do not constitute limitations of a computer device, processor or computer program embodying aspects of the present invention. A particular computer device, processor or computer program may include more or fewer components or modules than shown in the figures, or may combine or split certain components or modules, or may have a different arrangement of components or modules.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored thereon computer instructions executable by the processor, the computer instructions, when executed by the processor, instructing the processor to perform the steps of the method of the invention. The computer device may broadly be a server, a vehicle mounted terminal, or any other electronic device having the necessary computing and/or processing capabilities. In one embodiment, the computer device may include a processor, memory, a network interface, a communication interface, etc., connected by a system bus. The processor of the computer device may be used to provide the necessary computing, processing and/or control capabilities. The memory of the computer device may include non-volatile storage media and internal memory. An operating system, a computer program, and the like may be stored in or on the non-volatile storage medium. The internal memory may provide an environment for the operating system and the computer programs in the non-volatile storage medium to run. The network interface and the communication interface of the computer device may be used to connect and communicate with an external device through a network. Which when executed by a processor performs the steps of the method of the invention.
The invention may be implemented as a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, causes the steps of the method of the invention to be performed. In one embodiment, the computer program is distributed across a plurality of computer devices or processors coupled by a network such that the computer program is stored, accessed, and executed by one or more computer devices or processors in a distributed fashion. A single method step/operation, or two or more method steps/operations, may be performed by a single computer device or processor or by two or more computer devices or processors. One or more method steps/operations may be performed by one or more computer devices or processors, and one or more other method steps/operations may be performed by one or more other computer devices or processors. One or more computer devices or processors may perform a single method step/operation, or perform two or more method steps/operations.
It will be understood by those of ordinary skill in the art that all or part of the steps of the method of the present invention may be directed to associated hardware, such as a computer device or a processor, for performing the steps of the method of the present invention by a computer program, which may be stored in a non-transitory computer readable storage medium and when executed, cause the steps of the method of the present invention to be performed. Any reference herein to memory, storage, databases, or other media may include non-volatile and/or volatile memory, as appropriate. Examples of non-volatile memory include read-only memory (ROM), programmable ROM (prom), electrically programmable ROM (eprom), electrically erasable programmable ROM (eeprom), flash memory, magnetic tape, floppy disk, magneto-optical data storage device, hard disk, solid state disk, and the like. Examples of volatile memory include Random Access Memory (RAM), external cache memory, and the like. The respective technical features described above may be arbitrarily combined. Although not all possible combinations of features are described, any combination of features should be considered to be covered by the present specification as long as there is no contradiction between such combinations.
While the present invention has been described in connection with the embodiments, it is to be understood by those skilled in the art that the foregoing description and drawings are merely illustrative and not restrictive of the broad invention, and that this invention not be limited to the disclosed embodiments. Various modifications and variations are possible without departing from the spirit of the invention.
Claims (15)
1. A traffic management device, comprising:
the detection unit is configured to detect that rigid traffic exists in a traffic area of interest;
an identification unit configured to identify that the impasse traffic relates to one or more intelligent transportation participants;
a communication unit configured to send a control command related to movement of an interested intelligent transportation participant of the one or more intelligent transportation participants.
2. The traffic management device according to claim 1, wherein the traffic management device further comprises:
an information providing unit configured to provide warning information indicating the impasse traffic in response to the impasse traffic being detected.
3. The traffic management device according to claim 2, wherein the information providing unit is further configured to provide traffic information visualizing the impasse traffic,
wherein the traffic management device further comprises: a marking unit configured to mark the one or more intelligent traffic participants in the traffic information.
4. The traffic management device according to any one of claims 1 to 3, wherein the traffic management device further includes:
a selection unit configured to select one of the one or more intelligent transportation participants as the interested intelligent transportation participant in response to the received selection input;
a command generation unit configured to generate the control command in response to the received control input.
5. The traffic management device of claim 4,
the control command indicates a target position and a driving direction of the intelligent transportation participant of interest, the control input including an input defining the target position and the driving direction;
the control command indicates a travel trajectory of the intelligent traffic participant of interest, the control input comprising an input defining the travel trajectory;
the control command is indicative of a target steering angle, a target acceleration or deceleration, a target speed of the intelligent transportation participant of interest, the control input comprising an input defining the target steering angle, the target acceleration or deceleration, the target speed; or
The control command is indicative of operation of at least one operational component of the intelligent transportation participant of interest, the control input including simulated driving input generated by operation of a simulation component that simulates the at least one operational component.
6. The traffic management device of claim 5, wherein the intelligent traffic participant of interest comprises an autonomous vehicle.
7. A traffic management method, comprising:
detecting the existence of rigid traffic in an interested traffic area;
identifying that the impasse traffic involves one or more intelligent transportation participants;
sending a control command related to movement of an interested intelligent transportation participant of the one or more intelligent transportation participants.
8. The traffic management method according to claim 7, wherein the traffic management method further comprises:
in response to the sustained traffic being detected, providing alert information indicative of the sustained traffic.
9. The traffic management method according to claim 8, wherein the traffic management method further comprises:
providing traffic information visualizing the impatient traffic; and
marking the one or more intelligent traffic participants in the traffic information.
10. The traffic management method according to any one of claims 7 to 9, wherein the traffic management method further includes:
in response to receiving a selection input, selecting one of the one or more intelligent transportation participants as the intelligent transportation participant of interest;
generating the control command in response to the received control input.
11. The traffic management method according to claim 10,
the control command indicates a target position and a driving direction of the intelligent transportation participant of interest, the control input including an input defining the target position and the driving direction;
the control command indicates a travel trajectory of the intelligent traffic participant of interest, the control input comprising an input defining the travel trajectory;
the control command is indicative of a target steering angle, a target acceleration or deceleration, a target speed of the intelligent transportation participant of interest, the control input comprising an input defining the target steering angle, the target acceleration or deceleration, the target speed; or
The control command is indicative of operation of at least one operational component of the intelligent transportation participant of interest, the control input including simulated driving input generated by operation of a simulation component that simulates the at least one operational component.
12. The traffic management method according to claim 11, wherein the intelligent traffic participant of interest comprises an autonomous vehicle.
13. A server, comprising:
traffic management apparatus according to any of claims 1 to 6.
14. A computer device comprising a memory and a processor, the memory having stored thereon a computer program which, when executed by the processor, causes the traffic management method according to any of claims 7-12 to be performed.
15. A non-transitory computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, causes the traffic management method according to any of claims 7-12 to be performed.
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| CN202010612361.7A CN113870548A (en) | 2020-06-30 | 2020-06-30 | Traffic management apparatus, corresponding method, server, computer device, and medium |
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