CN108389419B - Vehicle dynamic path induction method - Google Patents
Vehicle dynamic path induction method Download PDFInfo
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Classifications
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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
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096805—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route
- G08G1/096811—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route where the route is computed offboard
- G08G1/096816—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route where the route is computed offboard where the complete route is transmitted to the vehicle at once
-
- 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
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096833—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
- G08G1/096844—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route where the complete route is dynamically recomputed based on new data
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- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
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- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Traffic Control Systems (AREA)
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Abstract
The invention discloses a vehicle dynamic path induction method, which comprises the following steps: extracting urban road information and road attributes, and constructing an urban road traffic network; step 2: the traffic information center generates a combined set of all road sections where the position of the vehicle reaches the destination and calculates the running time of the vehicle according to the real-time road section vehicle condition; step 3: and (3) the traffic information center acquires a road section combination with the minimum running time when the position of the vehicle reaches the destination, and transmits the road section combination back to the running vehicle, when the vehicle runs to the first road section node according to the road section combination, the traffic information center updates road conditions in real time and verifies whether the running time of the rest road section combination is the minimum value according to the step (2), if so, the next node is continuously run, if not, the road section combination with the minimum re-acquired running time is transmitted back to the running vehicle and runs to the next node until the vehicle runs to the destination, and the running route is induced for a driver, so that the traffic jam is relieved, and the running efficiency is improved.
Description
Technical Field
The invention relates to the technical field of Internet of vehicles and wireless communication, in particular to a vehicle dynamic path induction method.
Background
With the acceleration of urbanization and the improvement of automobile utilization, urban traffic jam is increasingly serious. The occurrence of traffic jam can bring various problems such as fuel consumption, pollutant gas emission, travel time increase and the like, and influence the living environment and travel experience of people. How to improve urban transportation efficiency and relieve traffic jams is one of important problems of resource conservation, environmental protection and human health.
Based on advanced wireless communication technology and Internet of vehicles technology, high-efficiency data transmission and information release functions can be realized between vehicles and a traffic control center. Based on the wireless communication technology, the vehicle and the network background server form a wireless data transmission network, so that the vehicle-mounted terminal integrated with the mobile communication equipment can transmit the information of the self state and the surrounding environment to the network background server through the wireless network, and the traffic control center processes, fuses, models, analyzes and calculates the multi-terminal and diversified data information on a network platform, shares and inquires and distributes the information.
The main modes for relieving traffic jam are as follows: control traffic demand, improve road network structure, improve traffic infrastructure, intelligent route guidance, etc. The intelligent path guidance strategy is more beneficial to improving the acceptance of drivers relative to traffic demand control, has higher feasibility, is more convenient for traffic management departments to implement relative to improving road network structures and traffic infrastructures, and is beneficial to reducing the cost, so that the direction has been widely studied. However, the existing intelligent path induction method still has the following problems:
1) Lacking accurate real-time traffic demand data, research on intelligent path induction is limited to theoretical models, and feasibility and practicality are difficult to prove.
2) Most of the current route guidance methods use static traffic information to conduct route guidance in a global angle, but the non-uniformity of vehicle distribution on road sections (especially longer road sections) is not considered, so that the management range is wider, the implementation of a management department is not facilitated, and meanwhile, the guidance strategy is not accepted by drivers.
Disclosure of Invention
The invention aims to design and develop a vehicle dynamic path inducing method which can monitor road surface conditions in real time, calculate the time of the vehicle from the vehicle location to the destination in real time according to the distribution condition of the vehicles at each road section, induce a driver according to the road section combination with the minimum value of the obtained driving time, relieve traffic jam and improve driving efficiency.
The technical scheme provided by the invention is as follows:
a vehicle dynamic path inducing method comprising the steps of:
step 1: extracting urban road information and road attributes, and constructing an urban road traffic network, wherein the urban road traffic network consists of nodes and directed edges between the nodes, the nodes are contact points of road sections and road sections, and the directed edges are road sections;
step 2: the vehicle sends the information of the vehicle, the position and the destination to a traffic information center through the internet of vehicles technology, the traffic information center generates a combined set of all road sections of the position of the vehicle reaching the destination, and the running time of the vehicle is calculated according to the real-time road section vehicle condition:
wherein t is the time of the vehicle traveling from the location to the destination, x is the number of road segments between the location and the destination, ω i,i+1 Vehicle occupancy, s, in road section i, i+1 i,i+1 Length of road section i, i+1, v f Maximum speed limited by road section i, i+1, and alpha and beta are correction coefficients;
step 3: and (3) the traffic information center acquires a road section combination with the minimum running time when the position of the vehicle reaches the destination, and sends the road section combination back to the running vehicle, when the vehicle runs to the first road section node according to the road section combination, the traffic information center updates road conditions in real time and verifies whether the running time of the rest road section combination is the minimum value according to the step (2), if so, the next node is continued to run, and if not, the road section combination with the minimum re-acquired running time is sent back to the running vehicle and runs to the next node until the vehicle runs to the destination.
Preferably, the vehicle duty ratio in the road section is:
wherein N is the real-time number of vehicles in road section i, i+1, L (N) is the length of the nth vehicle, y n For the minimum distance between the vehicles to be the smallest,the number of lanes for road segment i, i+1.
Preferably, the total probability of all road segment combinations where the vehicle is located to reach the destination is:
wherein Ω is the total probability of all road segment combinations where the vehicle is located to reach the destination, φ i,i+1 Is the number of all segments from node i to node i+1.
Preferably, α=2.23, β=0.3.
The beneficial effects of the invention are as follows:
the vehicle dynamic path guidance method can monitor road surface conditions in real time, calculate the time of the vehicle in the vehicle place to the destination in real time according to the vehicle distribution condition of each road section, guide a driver according to the road section combination with the minimum acquired driving time, verify the nodes of each road section, relieve traffic jam and improve driving efficiency.
Drawings
Fig. 1 is a road section combination diagram from point a to point B according to an embodiment of the present invention.
Detailed Description
The present invention is described in further detail below with reference to the drawings to enable those skilled in the art to practice the invention by referring to the description.
This invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, but rather should be construed in breadth and scope in accordance with the appended claims.
The invention provides a vehicle dynamic path induction method, which comprises the following steps:
step 1: extracting urban road information and road attributes (specifically comprising road length and road intersection points), and constructing an urban road traffic network, wherein the urban road traffic network consists of nodes and directed edges between the nodes, the nodes are contact points of road sections and road sections, and the directed edges refer to the road sections;
step 2: the vehicle sends the information of the vehicle, the position and the destination to a traffic information center through the internet of vehicles technology, the traffic information center generates a combined set of all road sections of the position of the vehicle reaching the destination, and the running time of the vehicle is calculated according to the real-time road section vehicle condition:
wherein t is the time of the vehicle traveling from the location to the destination, x is the number of road segments between the location and the destination, ω i,i+1 Vehicle occupancy, s, in road section i, i+1 i,i+1 Length of road section i, i+1, v f Maximum speed limited by road section i, i+1, and alpha and beta are correction coefficients;
the vehicle duty ratio in the road section is as follows:
wherein N is the real-time number of vehicles in road section i, i+1, L (N) is the length of the nth vehicle, y n For the minimum distance between the vehicles to be the smallest,the number of lanes for road segments i, i+1;
the total probability of all road section combinations where the vehicle is located to reach the destination is as follows:
wherein Ω is the total probability of all road segment combinations where the vehicle is located to reach the destination, φ i,i+1 All road segment numbers from node i to node i+1;
in this embodiment, α=2.23, and β=0.3.
Step 3: and (3) the traffic information center acquires a road section combination with the minimum running time when the position of the vehicle reaches the destination, and sends the road section combination back to the running vehicle, when the vehicle runs to the first road section node according to the road section combination, the traffic information center updates road conditions in real time and verifies whether the running time of the rest road section combination is the minimum value according to the step (2), if so, the next node is continued to run, and if not, the road section combination with the minimum re-acquired running time is sent back to the running vehicle and runs to the next node until the vehicle runs to the destination.
Examples
As shown in fig. 1, the driver drives the vehicle from point a to point B, there are 3 nodes C, D, E in the middle, and when the vehicle is located at the starting point a, the specific information of the road condition is shown in table one:
table traffic information when a vehicle is at point A
Firstly, the road conditions can be known:
there are 36 combinations of road segments possible from point a to point B,
according toCalculating t AC1-CD2-DE3-EB1 The minimum, the traffic control center sends the road section combination back to the driver, and the driver runs to the point C according to the road section AC1, and the traffic control center real-timeUpdating road condition information, wherein the road conditions of the rest CD-DE-EB road sections are shown in a second table,
road condition information of two vehicles at C point
According toCalculating t CD2-DE1-EB1 If the running time of the rest of the sections of the CD2-DE3-EB1 is not the minimum, the new section combination CD2-DE1-EB1 with the minimum use is sent back to the driver, the traffic control center updates the road condition information in real time after the driver runs to the point D according to the section CD2, the road condition of the rest of the sections of the DE-EB is shown in a table III,
road condition information of three vehicles at point D
According toCalculating t DE2-EB1 If the road conditions are the smallest, the road conditions of the rest of the DE1-EB1 road sections are verified to be not the smallest, the new road section combination DE2-EB1 with the least consumption is sent back to the driver, the traffic control center updates the road condition information in real time after the driver runs to the E point according to the road section DE2, the road conditions of the rest of the EB road sections are shown in a table four,
road condition information of four vehicles at E point
According toCalculating t EB1 And if the running time of the rest EB1 road section is minimum, prompting the driver that the running time of the road section is minimum, and enabling the driver to run to the endpoint B according to the road section EB 1.
The vehicle dynamic path guidance method can monitor road surface conditions in real time, calculate the time of the vehicle in the vehicle place to the destination in real time according to the vehicle distribution condition of each road section, guide a driver according to the road section combination with the minimum acquired driving time, verify the nodes of each road section, relieve traffic jam and improve driving efficiency.
Although embodiments of the present invention have been disclosed above, it is not limited to the details and embodiments shown and described, it is well suited to various fields of use for which the invention would be readily apparent to those skilled in the art, and accordingly, the invention is not limited to the specific details and illustrations shown and described herein, without departing from the general concepts defined in the claims and their equivalents.
Claims (3)
1. A vehicle dynamic path inducing method, characterized by comprising the steps of:
step 1: extracting urban road information and road attributes, and constructing an urban road traffic network, wherein the urban road traffic network consists of nodes and directed edges between the nodes, the nodes are contact points of road sections and road sections, and the directed edges are road sections;
step 2: the vehicle sends the information of the vehicle, the position and the destination to a traffic information center through the internet of vehicles technology, the traffic information center generates a combined set of all road sections of the position of the vehicle reaching the destination, and the running time of the vehicle is calculated according to the real-time road section vehicle condition:
wherein t is the time of the vehicle traveling from the location to the destination, x is the number of road segments between the location and the destination, ω i,i+1 Is the vehicle duty ratio, s in road section i, i+1 i,i+1 Length of road section i, i+1, v f Maximum speed limited by road section i, i+1, and alpha and beta are correction coefficients;
step 3: the traffic information center acquires a road section combination with the minimum running time when the position of the vehicle reaches the destination and sends the road section combination back to the running vehicle, when the vehicle runs to a first road section node according to the road section combination, the traffic information center updates road conditions in real time and verifies whether the running time of the rest road section combination is the minimum value according to the step 2, if so, the next node is continued to run, and if not, the road section combination with the minimum re-acquired running time is sent back to the running vehicle and runs to the next node until the vehicle runs to the destination;
the vehicle duty ratio in the road section is as follows:
wherein N is the real-time number of vehicles in road section i, i+1, L (N) is the length of the nth vehicle, y n For the minimum distance between the vehicles to be the smallest,the number of lanes for road segment i, i+1.
2. The vehicle dynamic path guidance method according to claim 1, wherein the total probability of all road segment combinations where the vehicle is located to reach the destination is:
wherein Ω is the total probability of all road segment combinations where the vehicle is located to reach the destination, φ i,i+1 Is the number of all segments from node i to node i+1.
3. The vehicle dynamic path inducing method according to claim 1, wherein α=2.23, β=0.3.
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| CN109269516B (en) * | 2018-08-29 | 2022-03-04 | 沈阳理工大学 | Dynamic path induction method based on multi-target Sarsa learning |
| CN110211381B (en) * | 2019-06-05 | 2021-02-09 | 杭州中奥科技有限公司 | Traffic route distribution method and device |
| CN112465006B (en) * | 2020-11-24 | 2022-08-05 | 中国人民解放军海军航空大学 | Target tracking method and device for graph neural network |
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