Confluence-oriented universal vehicle-road cooperative guidance method

By using the vehicle formation driving model to calculate the ideal vehicle speed and send visual guidance information, the problem of insufficient control particle size and adaptive ability of the visual guidance system in the highway merging scenario is solved, and the refined and adaptive control of the vehicle flow is achieved, which improves the stability and safety of the vehicle flow.

CN119920082AActive Publication Date: 2025-05-02广东利通科技投资有限公司

Patent Information

Application Number
CN202510055647.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-14
Publication Date
2025-05-02
Estimated Expiration
2044-09-14

AI Technical Summary

Technical Problem

The existing visual guidance system lacks control particle size and adaptability in the refined control of highways, and cannot effectively guide vehicles to safely and efficiently enter the lane in the combined flow scenario.

Method used

By obtaining the position and speed information of the target vehicle and the adjacent lane vehicles, the vehicle formation driving model is used to calculate the ideal speed of the target vehicle, and guide the vehicle to adjust the speed through visual guidance information (such as changing the light color and flickering frequency), so that it can be safely and efficiently merged with the adjacent lane vehicles at the merger ramp or lane.

Benefits of technology

It realizes refined and adaptable controllable characteristics in key channel scenarios, and improves the stability and safety of road traffic.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to a confluence-oriented universal vehicle-road cooperative guidance method, which comprises the following steps of: acquiring current position data information and vehicle speed information of a target vehicle, and monitoring whether the front of the driving direction of a lane where the target vehicle is located is combined with an adjacent lane or not; if so, acquiring vehicle information of the target vehicle and vehicle information within a preset range of the target vehicle and located on an adjacent lane; importing information of the target vehicle and the vehicles located on the adjacent lanes into the constructed vehicle formation driving model to obtain ideal vehicle speed information of the target vehicle; and sending visual guidance information to the target vehicle to guide the target vehicle to adjust the vehicle speed to an ideal vehicle speed, and converging into the lane on the combined ramp or lane. By monitoring driving data of a target vehicle and a lane adjacent to the lane where the target vehicle is located, the device is arranged on the outermost side of a main line and the right side of an uplink ramp. And for the uplink ramp, vehicles in the ramp are guided to converge into the main line traffic flow at a uniform acceleration, and the converge action is ensured to be safely and efficiently carried out.
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Description

Technical Field

[0001] The present invention relates to the field of intelligent transportation technology, and in particular to a merging-oriented pan-vehicle-road collaborative guidance method. Background Art

[0002] In modern highway scenarios, key traffic channels need to be finely controlled through the three steps of "perception-judgment-control". In the entire control closed loop, the shortcomings often lie in the control step: traditional traffic information release mainly relies on variable information boards, which has been proven to have the disadvantages of "newcomers can't understand and veterans can't read", and there is a certain delay in information transmission, which makes it difficult to ensure the timeliness of the above information transmission; similarly, FM traffic radio is also difficult to meet the requirements of timeliness and personalization of information release;

[0003] As a new type of traffic guidance medium, traditional vehicle-road cooperative communication has the advantages of low latency and targeted release, but it requires the user's vehicle to pre-install the client. Before the vehicle-road cooperative service becomes attractive enough to users, it is not realistic to assume that all users on the road can receive control information. Due to the lack of effective and accurate means of reaching users, the situation of "sensing but not controlling, controlling but not reaching" is everywhere in reality.

[0004] In the face of the above-mentioned control challenges, the current main idea is to introduce or improve the existing user contact media and improve the control closed loop. Among them, the visual guidance system composed of active light-emitting studs or lamps has attracted attention due to its high information transmission rate (close to the speed of light). In recent years, the industry has begun to explore the practice of integrating traffic guidance information into the flashing mode of lights.

[0005] However, the current visual guidance system uses the current speed limit of the road section to transmit information to the vehicle to recommend the speed, making it unable to become a technical solution for refined control of key scenarios. Therefore, the control granularity and adaptability of the current visual guidance system are far from meeting the requirements of refined control of highways. Summary of the invention

[0006] Based on this, it is necessary to provide a pan-vehicle-road collaborative guidance method for merging to address the problems of insufficient control refinement and insufficient adaptive ability of the current visual guidance system.

[0007] A merging-oriented pan-vehicle-road collaborative guidance method, the method comprising:

[0008] Obtain the current location data and speed information of the target vehicle, and monitor whether the lane ahead of the target vehicle merges with the adjacent lane in the driving direction;

[0009] If combined, the vehicle information of the target vehicle and the vehicle information within the preset range of the target vehicle and located in the adjacent lane are obtained, wherein the vehicle information includes the speed information and current position data information of the vehicle located in the adjacent lane;

[0010] Importing vehicle information of the target vehicle and the vehicles located in adjacent lanes into the constructed vehicle platoon driving model to obtain ideal vehicle speed information of the target vehicle;

[0011] Based on the ideal speed information and current speed information of the target vehicle, visual guidance information is sent to the target vehicle to guide the target vehicle to adjust its speed to the ideal speed so that the target vehicle and vehicles in adjacent lanes merge into the lane at the merged ramp or lane.

[0012] In one preferred embodiment, the current position data information and speed information of the target vehicle and the vehicles located in the adjacent lanes are imported into the constructed vehicle formation driving model to obtain the ideal speed information of the target vehicle, including:

[0013] Obtaining vehicle distance information d1 between the target vehicle and vehicles located within a preset range on an adjacent lane in a travel direction;

[0014] Get the preset safety distance d of the current road section 10 , and based on the vehicle distance information d1 and the preset safe vehicle distance d 10 , get the ideal distance difference e of the target vehicle m1,i ;

[0015] Based on the ideal distance difference e m1,i , obtain the ideal speed information of the target vehicle

[0016] In one preferred embodiment, the preset safety distance d 10 The way to obtain is:

[0017] Based on the current speed information of the target vehicle and the distance information of the vehicle in front of the target vehicle, the preset safety distance d is obtained from the dynamic vehicle distance parameter database. 10 .

[0018] In one preferred embodiment, the ideal distance difference e m,i satisfy:

[0019] e m,i =d1-d 10 -v m1,i Δt1

[0020] The v m1,i is the current speed of the target vehicle, and Δt1 is the preset headway time;

[0021] The target vehicle's ideal speed information satisfy:

[0022]

[0023] The v m1,i-1 is the speed of the target vehicle during the last sensing cycle of the sensing device, v max is the maximum speed limit of the road section where the target vehicle is located, k p and k d They are the calibrated PD filter parameters respectively.

[0024] In one preferred embodiment, the sending of visual guidance information to the target vehicle based on the ideal speed information and current speed information of the target vehicle to guide the target vehicle to adjust the speed to the ideal speed includes:

[0025] Visual guidance information is sent to the target vehicle by means of a guide light or a variable luminous sign arranged on the road, wherein the visual guidance information includes changing the light color and / or changing the light flashing frequency.

[0026] In one preferred embodiment, when the visual guidance information includes changing the light flashing frequency, the light flashing frequency satisfy:

[0027]

[0028] Where l0 is the deployment distance between two adjacent signal sources, It is the ideal speed information of the target vehicle.

[0029] In one preferred embodiment, when the visual guidance information includes changing the light color, sending the visual guidance information to the target vehicle based on the ideal speed information and the current speed information of the target vehicle to guide the target vehicle to adjust the speed to the ideal speed includes:

[0030] When the current speed information of the target vehicle is less than the ideal speed information, a green flashing visual guidance information is sent to the target vehicle;

[0031] When the current speed information of the target vehicle is close to the ideal speed information, a yellow flashing visual guidance message is sent to the target vehicle;

[0032] When the current speed information of the target vehicle is greater than the ideal speed information, a red flashing visual guidance information is sent to the target vehicle;

[0033] When the current speed information of the target vehicle is greater than the ideal speed information and exceeds the threshold range, a red visual guidance message is sent to the target vehicle.

[0034] In one preferred embodiment, the method further comprises:

[0035] Obtaining traffic event information of vehicles in a target area and information of vehicles involved in the traffic event information;

[0036] Based on the information of the vehicle involved in the accident, obtaining the speed information and the distance information of the vehicle involved in the accident within a preset period of time before the traffic incident occurs;

[0037] According to the vehicle speed information and vehicle distance information of the involved vehicles in a preset time period before the traffic incident occurs, and based on the vehicle formation driving model, the cause of the traffic incident is analyzed.

[0038] The above-mentioned embodiment of the present invention is deployed on the outermost side of the main line and on the right side of the up-ramp by monitoring the driving data of the target vehicle and the adjacent lanes of the lane where the target vehicle is located. When a suitable traffic gap is detected in the main line traffic, PACC lighting control can be activated. For the main line, the PACC system guides the vehicles behind the gap to maintain a uniform speed and maintain the length of the gap; for the up-ramp, the vehicles in the ramp are guided to merge into the main line traffic with a uniform acceleration to ensure that the merging action is carried out safely and efficiently. The lights can be used as a guide for safe merging, and can also be used as a basis for tracing events after a conflict occurs.

[0039] The above-mentioned embodiments of the present invention utilize the acquired information such as the current vehicle speed, position, and distance between vehicles, take the platoon driving model as the core control logic, guide the vehicles to drive in an orderly manner by transmitting optical information, realize the refinement of key channel scenes and the adaptive controllable characteristics, and improve the stability and safety of road traffic. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 A flowchart of a merging-oriented pan-vehicle-road collaborative guidance method in a preferred embodiment of the present invention;

[0041] Figure 2 This is a flowchart of subdivided steps of step S30 of a merging-oriented pan-vehicle-road collaborative guidance method in a preferred embodiment of the present invention;

[0042] Figure 3 This is a flowchart of the steps included in a merging-oriented pan-vehicle-road collaborative guidance method in a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0044] It should be noted that when an element is referred to as being "disposed on" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only and do not represent the only implementation method.

[0045] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0046] like Figure 1 As shown, in a first preferred embodiment of the present invention, a merging-oriented pan-vehicle-road collaborative guidance method is disclosed, and the method includes:

[0047] S10: obtaining the current position data information and speed information of the target vehicle, and monitoring whether the lane ahead of the target vehicle in the driving direction merges with the adjacent lane;

[0048] In the above step S10, the current position data of the target vehicle and the current speed information of the target vehicle are obtained by using a sensing device installed on the roadside. Specifically, in this embodiment, the target vehicle can be sensed by using a visual perception device. More specifically, the position and speed of the target vehicle can be sensed in real time by using a camera installed on the roadside using image recognition technology. In the above steps of this embodiment, a laser radar sensing device can also be used to calculate the current position, speed and other information of the target vehicle by emitting a laser beam and receiving the reflected signal. Laser radar has high accuracy and anti-interference ability, and is suitable for vehicle detection in complex environments. In the above steps of this embodiment, optical fiber sensing equipment can also be used to realize full-time, full-domain, all-weather, non-blind spot sensing of vehicles, roads, and events, lane-level positioning of vehicle position, speed, trajectory, and perception of road surface operation status. This technology has the characteristics of large capacity, high density, long distance, fast response, and high reliability, and can provide accurate vehicle dynamic information. In this embodiment, the above steps can also be based on vehicle positioning and speed measurement based on grating array sensors, by obtaining the vibration signal of the vehicle in real time, and determining the vehicle position and speed based on the vibration sampling signal. This vehicle positioning and speed measurement based on grating array sensors can achieve all-weather monitoring of vehicles and improve the efficiency and accuracy of positioning and speed measurement. The above sensing technologies can be used alone or in combination to achieve the best detection effect. Different technologies have their own advantages and limitations. The specific technology to be selected depends on the actual application scenario and needs.

[0049] Generally, this step obtains the location of the target vehicle and the driving direction of the vehicle, and combines the specific lane of the road section where the target vehicle is located to obtain whether the front of the driving direction of the lane where the target vehicle is located is merged with the adjacent lane. Specifically, the road section can be an elevated up-ramp entrance, a road section where the main lane narrows, etc. In this embodiment, the target vehicle can be a vehicle that needs to change lanes, generally an outer lane of a lane, or an up-ramp entrance, etc.

[0050] If it is detected that the front of the road section needs to be merged, the vehicle information of the target vehicle and the vehicle information within the preset range of the target vehicle and located on the adjacent lane are obtained, and the vehicle information includes speed information and current position data information. Specifically, in this embodiment, a visual perception device can be used to sense the target vehicle. More specifically, through a camera installed on the roadside, image recognition technology is used to perceive the position and speed of the target vehicle in real time. The above steps of this embodiment can also use a laser radar perception device to calculate the current, position, speed and other information of the target vehicle by emitting a laser beam and receiving the reflected signal. Laser radar has high accuracy and anti-interference ability, and is suitable for vehicle detection in complex environments. The above steps of this embodiment can also realize full-time, full-domain, all-weather, non-blind spot perception of vehicles, roads, and events through optical fiber sensing equipment, lane-level positioning of vehicle position, speed, trajectory, and perception of road surface operation status. This technology has the characteristics of large capacity, high density, long distance, fast response, and high reliability, and can provide accurate vehicle dynamic information. The above steps of this embodiment can also be performed by a vehicle positioning and speed measurement system and method based on a grating array sensor, by acquiring the vibration signal of the vehicle in real time, and determining the vehicle position and speed based on the vibration sampling signal. This system can achieve all-weather monitoring of the vehicle and improve the efficiency and accuracy of positioning and speed measurement. The above sensing technologies can be used alone or in combination to achieve the best detection effect. Different technologies have their own advantages and limitations. The specific technology to be selected depends on the actual application scenario and needs.

[0051] S20: if merged, obtaining vehicle information of the target vehicle and vehicle information within a preset range of the target vehicle and located in the adjacent lane, the vehicle information including vehicle speed information and current position data information of the vehicle located in the adjacent lane;

[0052] In the above step S10, if it is detected that the front of the road section needs to be merged, the vehicle information of the target vehicle and the vehicle information within the preset range of the target vehicle and located on the adjacent lane are obtained, and the vehicle information includes speed information and current position data information. Specifically, in this embodiment, a visual perception device can be used to sense the target vehicle. More specifically, through a camera installed on the roadside, the position and speed of the target vehicle can be perceived in real time using image recognition technology. The above steps of this embodiment can also use a laser radar perception device to calculate the current, position, speed and other information of the target vehicle by emitting a laser beam and receiving the reflected signal. Laser radar has high accuracy and anti-interference ability, and is suitable for vehicle detection in complex environments. The above steps of this embodiment can also realize full-time, full-domain, all-weather and blind-spotless perception of vehicles, roads, and events through optical fiber sensing equipment, lane-level positioning of vehicle position, speed, trajectory, and perception of road surface operation status. This technology has the characteristics of large capacity, high density, long distance, fast response, and high reliability, and can provide accurate vehicle dynamic information. The above steps of this embodiment can also be performed by a vehicle positioning and speed measurement system and method based on a grating array sensor, by acquiring the vibration signal of the vehicle in real time, and determining the vehicle position and speed based on the vibration sampling signal. This system can achieve all-weather monitoring of the vehicle and improve the efficiency and accuracy of positioning and speed measurement. The above sensing technologies can be used alone or in combination to achieve the best detection effect. Different technologies have their own advantages and limitations. The specific technology to be selected depends on the actual application scenario and needs.

[0053] S30: Importing vehicle information of the target vehicle and the vehicles located in adjacent lanes into the constructed vehicle platoon driving model to obtain ideal vehicle speed information of the target vehicle;

[0054] Specifically, combined Figure 1 and Figure 2 As shown, the above step S30 includes the following subdivision steps:

[0055] S31: Obtaining distance information d1 between the target vehicle and a vehicle located within a preset range on an adjacent lane in a travel direction;

[0056] S32: Obtain the preset safety distance d of the current road section 10 , and based on the vehicle distance information d1 and the preset safe vehicle distance d 10 , get the ideal distance difference e of the target vehicle m1,i ;

[0057] S33: Based on the ideal distance difference e m1,i , obtain the ideal speed information of the target vehicle

[0058] In more detail, in the above subdivision step S31, the vehicle distance information d1 is obtained by a sensing device. The vehicle distance information d1 can be obtained based on the current position of the target vehicle and the position of the vehicle in the adjacent lane of the target vehicle, and the vehicle distance information d1 between the two in the driving direction is calculated. Specifically, the vehicle distance information d1 satisfies:

[0059] d = x m,i -x m-1,i (1)

[0060] In the above formula, x m,i is the current position of the target vehicle in the driving direction, x m-1,i It is the current position information of the vehicles in the adjacent lanes of the target vehicle in the driving direction.

[0061] The preset safety distance d 10 The method of obtaining the preset safety distance d is as follows: based on the current speed information of the target vehicle and the distance information of the vehicle in front of the target vehicle, the preset safety distance d is obtained from the dynamic vehicle distance parameter database. 10 .

[0062] The ideal distance difference e m1,i satisfy:

[0063] e m,i =d1-d 10 -v 1m,i Δt1 (2)

[0064] The v m1,i is the current speed of the target vehicle, and Δt1 is the preset headway time.

[0065] The above-mentioned headway time (TH) refers to the time interval between the front ends of two consecutive vehicles passing through a certain section in a moving vehicle queue. It is an important indicator for evaluating driving safety, closely related to traffic flow composition and driving behavior, and is also an important basis for reflecting road capacity and service level. The value range of Δt1 is greater than or equal to 0. If Δt1 is equal to 0, the ideal distance difference e m1,i =d1-d 10 In other words, the above current vehicle distance information d1 is the preset safety distance d 10 , the target vehicle does not need to adjust the following distance.

[0066] In this embodiment, the above-mentioned ideal distance difference e m1,i When it is a negative number, the following distance of the target vehicle needs to be increased. If the ideal distance difference is e m1,i When it is a positive number, the following distance of the target vehicle needs to be reduced. If the ideal distance difference is e m1,iIf it is 0, there is no need to adjust the following distance of the target vehicle.

[0067] The preset safety distance d0 needs to be a reserved safety distance calibrated according to the on-site situation and vehicle speed. In this embodiment, the preset safety distance d0 is obtained from the database based on the current vehicle speed information of the target vehicle. In this way, the head distance of the convoy in a dense flow state can be set, and the traffic flow can be organized by guiding the vehicle speed, while optimizing the traffic efficiency without reducing the safety of the convoy.

[0068] The ideal speed information of the above target vehicle satisfy:

[0069]

[0070] The v m1,i-1 is the speed of the target vehicle during the last sensing cycle of the sensing device, v max is the maximum speed limit of the road section where the target vehicle is located. The speed limit will be adjusted according to the road conditions ahead of the merging area, such as whether there is a tunnel entrance. p and k d They are respectively the calibrated PD filter parameters, which are obtained through an on-site calibration process.

[0071] In this subdivision step, the current speed v of the target vehicle m,i The sensing period is obtained by the sensing device in the above step S10, and the sensing period is the sensing period of the above sensing device sensing the road vehicle, and the sensing period is an integer multiple of the signal sending or receiving period of the above sensing device. For example, the signal sending or receiving period of the sensing device used is 2ms, and the sensing period of the sensing device in this embodiment is between 0.5s and 1s. m,i-1 It is the speed of the target vehicle during the last sensing cycle of the sensing device.

[0072] The advantage of adopting the above-mentioned vehicle formation driving model is that the dynamics of the constructed convoy is a decentralized control structure. Once a vehicle in the queue ignores the guidance information at this time, the original convoy will split into two convoys, and the first vehicle behind the vehicle will become the head vehicle of the new convoy behind. The vehicles following behind the new head vehicle can still be guided by the PD negative feedback adaptive mechanism in the above-mentioned vehicle formation driving model. It is only necessary to improve the vehicle's acceptance of information through various means. When all vehicles in the lane follow the suggestions of the guidance information, the longer the convoy formed, the traffic efficiency of the entire lane will naturally be closer to the dense flow state under active traffic control, thereby improving the traffic efficiency to the optimal level.

[0073] S40: Based on the ideal speed information and current speed information of the target vehicle, visual guidance information is sent to the target vehicle to guide the target vehicle to adjust its speed to the ideal speed so that the target vehicle and vehicles in adjacent lanes merge into the lane at the merged ramp or lane.

[0074] Specifically, in the above step S40, visual guidance information is sent to the target vehicle through a guide light or a variable luminous sign arranged on the road, and the visual guidance information includes changing the light color and / or changing the light flashing frequency.

[0075] More specifically, when the visual guidance information includes changing the light flashing frequency, the light flashing frequency satisfy:

[0076]

[0077] Where l0 is the deployment distance between two adjacent signal sources, Measure ideal speed information for the target vehicle.

[0078] Generally, the guide lights on the road are located on both sides of the road. In order to make the frequency change of the guide lights or variable luminous signs on both sides of the road within the field of vision of the driver of the target vehicle, one to three guide lights on both sides of the road located in front of the target vehicle flash along with the target vehicle and based on the flashing frequency defined by the above formula (4).

[0079] When the visual guidance information includes changing the light color, it includes:

[0080] When the current speed information of the target vehicle is less than the ideal speed information, a green flashing visual guidance information is sent to the target vehicle; when the current speed information of the target vehicle is close to the ideal speed information, a yellow flashing visual guidance information is sent to the target vehicle; when the current speed information of the target vehicle is greater than the ideal speed information, a visual guidance information different from the red flashing is sent to the target vehicle; when the current speed information of the target vehicle is greater than the ideal speed information and exceeds the threshold range, a red visual guidance information is sent to the target vehicle. In this embodiment, the PACC system is used to guide the target vehicle with lights.

[0081] In this embodiment, the frequency change and color change of the guide light can also be combined to send visual guidance information. Greater than the current speed v of the target vehicle m,i , then the 1-3 traffic lights closest to the target vehicle are set to green, and the light flashing frequency is adjusted according to the above formula (4). The vehicle is prompted to accelerate to the speed corresponding to the flashing frequency.

[0082] If the target vehicle's ideal speed Current speed v of the approaching target vehicle m,i , then the 1-3 traffic lights closest to the vehicle are set to yellow, and the light adjustment flashing frequency is consistent with formula (4), prompting the vehicle to maintain a constant speed at the corresponding speed. Less than the current speed v of the target vehicle m,i , then the 1-3 traffic lights closest to the vehicle are set to yellow, and the light adjustment flashing frequency is consistent with formula (4), prompting the vehicle to slow down to the speed corresponding to the flashing frequency. Much smaller than the current speed v of the target vehicle m,i , the nearest traffic lights in front of the vehicle are set to red and set to long-on mode to prompt the vehicle to perform an emergency brake operation. The guide lights set on the road are road stud indicator lights, and at least one road stud indicator light located in front of the target vehicle sends visual guidance information to the target vehicle.

[0083] In this implementation, if the mth vehicle in the queue ignores the guidance information at this time and performs operations such as changing lanes, the original convoy will be split into two convoys, and the mth vehicle will become the head vehicle of the new convoy behind it. The vehicles behind it can still be guided using the above content. If no emergency occurs in the tunnel, then as long as the vehicles' acceptance of information is improved through various means, when all vehicles in the lane follow the suggestions of the guidance information, the longer the convoy formed, the closer the traffic efficiency of the entire lane will naturally be to the dense flow state under active traffic control, thereby optimizing the traffic efficiency.

[0084] Relying on the above method, it can form vehicle-road collaborative control with existing information release media such as holographic perception and accompanying information services. It can be used as a self-explanatory, non-mandatory driving behavior guidance tool, and can also be used as a basis for mandatory control in certain scenarios after popular education.

[0085] In addition to ensuring that traffic flows at appropriate speeds and vehicle spacing indicators, the above guidance information can provide target vehicles with early warning functions for road conditions such as water accumulation and collapse.

[0086] like Figure 3 As shown, in another embodiment of the present invention, the method further comprises:

[0087] S81: Obtaining traffic event information of vehicles in a target area and information of vehicles involved in the traffic event information;

[0088] S82: Based on the information of the vehicle involved in the accident, obtaining the speed information and the distance information of the vehicle involved in the accident and surrounding vehicles within a preset period of time before the traffic incident occurs;

[0089] S83: Analyze the cause of the traffic incident information based on the vehicle speed information and vehicle distance information of the involved vehicles in a preset period of time before the traffic incident occurs and based on the vehicle platoon driving model.

[0090] The above-mentioned embodiments of the present invention obtain the cause of the traffic incident by monitoring the traffic incident and analyzing the incident of the vehicle involved, thereby facilitating the division of responsibilities for the traffic incident and providing a basis.

[0091] The above-mentioned embodiment of the present invention is deployed on the outermost side of the main line and on the right side of the up-ramp by monitoring the driving data of the target vehicle and the adjacent lanes of the lane where the target vehicle is located. When a suitable traffic gap is detected in the main line traffic, PACC lighting control can be activated. For the main line, the PACC system guides the vehicles behind the gap to maintain a uniform speed and maintain the length of the gap; for the up-ramp, the vehicles in the ramp are guided to merge into the main line traffic with a uniform acceleration to ensure that the merging action is carried out safely and efficiently. The lights can be used as a guide for safe merging, and can also be used as a basis for tracing events after a conflict occurs.

[0092] The above-mentioned embodiments of the present invention utilize the acquired information such as the current vehicle speed, position, and distance between vehicles, take the platoon driving model as the core control logic, guide the vehicles to drive in an orderly manner by transmitting optical information, realize the refinement of key channel scenes and the adaptive controllable characteristics, and improve the stability and safety of road traffic.

[0093] It should be noted that the computer storage medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer readable signal medium may also be any computer storage medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0094] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (Hyper Text Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0095] The computer storage medium may be included in the electronic device, or may exist independently without being installed in the electronic device.

[0096] The computer storage medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device:

[0097] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0098] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A merging-oriented pan-vehicle-road collaborative guidance method, characterized in that: The method comprises: Obtain the current location data and speed information of the target vehicle, and monitor whether the lane ahead of the target vehicle merges with the adjacent lane in the driving direction; If combined, the vehicle information of the target vehicle and the vehicle information within the preset range of the target vehicle and located in the adjacent lane are obtained, wherein the vehicle information includes the speed information and current position data information of the vehicle located in the adjacent lane; Importing vehicle information of the target vehicle and the vehicles located in adjacent lanes into the constructed vehicle platoon driving model to obtain ideal vehicle speed information of the target vehicle; Based on the ideal speed information and current speed information of the target vehicle, visual guidance information is sent to the target vehicle to guide the target vehicle to adjust its speed to the ideal speed so that the target vehicle and vehicles in adjacent lanes merge into the lane at the merged ramp or lane.

2. A merging-oriented pan-vehicle-road collaborative guidance method according to claim 1, characterized in that: The current position data information and speed information of the target vehicle and the vehicles located in the adjacent lanes are imported into the constructed vehicle formation driving model to obtain the ideal speed information of the target vehicle, including: Obtaining vehicle distance information d1 between the target vehicle and vehicles located within a preset range on an adjacent lane in a travel direction; Get the preset safety distance d of the current road section 10 , and based on the vehicle distance information d1 and the preset safe vehicle distance d 10 , and get the ideal distance difference e of the target vehicle m1,i ; Based on the ideal distance difference e m1,i , obtain the ideal speed information of the target vehicle 3. The method for merging vehicle-road collaborative guidance according to claim 2, characterized in that: The preset safety distance d 10 The way to obtain is: Based on the current speed information of the target vehicle and the distance information of the vehicle in front of the target vehicle, the preset safety distance d is obtained from the dynamic vehicle distance parameter database. 10 .

4. The method for merging-oriented pan-vehicle-road collaborative guidance according to claim 2, characterized in that: The ideal distance difference e m,i satisfy: yes m,i =d1-d 10 -v m1,i Δt1 The v m1,i is the current speed of the target vehicle, and Δt1 is the preset headway time; The target vehicle's ideal speed information satisfy: The v m1,i-1 is the speed of the target vehicle during the last sensing cycle of the sensing device, v max is the maximum speed limit of the road section where the target vehicle is located, k p and k d They are the calibrated PD filter parameters respectively.

5. The method for comprehensive vehicle-road collaborative guidance for merging according to claim 1, characterized in that: The sending of visual guidance information to the target vehicle based on the ideal vehicle speed information and the current vehicle speed information of the target vehicle to guide the target vehicle to adjust the vehicle speed to the ideal vehicle speed includes: Visual guidance information is sent to the target vehicle by means of a guide light or a variable luminous sign arranged on the road, wherein the visual guidance information includes changing the light color and / or changing the light flashing frequency.

6. A merging-oriented pan-vehicle-road collaborative guidance method according to claim 5, characterized in that: When the visual guidance information includes changing the light flashing frequency, the light flashing frequency satisfy: Where l0 is the deployment distance between two adjacent signal sources, It is the ideal speed information of the target vehicle.

7. The method for merging-oriented pan-vehicle-road collaborative guidance according to claim 5, characterized in that: When the visual guidance information includes changing the light color, the sending of the visual guidance information to the target vehicle based on the ideal speed information and the current speed information of the target vehicle to guide the target vehicle to adjust the speed to the ideal speed includes: When the current speed information of the target vehicle is less than the ideal speed information, a green flashing visual guidance information is sent to the target vehicle; When the current speed information of the target vehicle is close to the ideal speed information, a yellow flashing visual guidance message is sent to the target vehicle; When the current speed information of the target vehicle is greater than the ideal speed information, a red flashing visual guidance information is sent to the target vehicle; When the current speed information of the target vehicle is greater than the ideal speed information and exceeds the threshold range, a red visual guidance message is sent to the target vehicle.

8. The method for merging-oriented pan-vehicle-road collaborative guidance according to claim 1, characterized in that: The method further comprises: Obtaining traffic event information of vehicles in a target area and information of vehicles involved in the traffic event information; Based on the information of the vehicle involved in the accident, obtaining the speed information and the distance information of the vehicle involved in the accident within a preset period of time before the traffic incident occurs; According to the vehicle speed information and vehicle distance information of the involved vehicles in a preset time period before the traffic incident occurs, and based on the vehicle formation driving model, the cause of the traffic incident is analyzed.

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