CN105810001B - A kind of real-time dynamic path planning method based on vehicular ad hoc network - Google Patents

A kind of real-time dynamic path planning method based on vehicular ad hoc network Download PDF

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CN105810001B
CN105810001B CN201610334074.8A CN201610334074A CN105810001B CN 105810001 B CN105810001 B CN 105810001B CN 201610334074 A CN201610334074 A CN 201610334074A CN 105810001 B CN105810001 B CN 105810001B
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vehicle
time
subpath
congestion
real
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CN105810001A (en
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吴思畏
李德敏
郭畅
齐磊磊
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Donghua University
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096766Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
    • G08G1/096791Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is another vehicle
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W84/00Network topologies
    • H04W84/18Self-organising networks, e.g. ad-hoc networks or sensor networks

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Atmospheric Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Traffic Control Systems (AREA)

Abstract

The present invention relates to a kind of real-time dynamic path planning methods based on vehicular ad hoc network, include the following steps:Traffic information, and real-time update are obtained by vehicular ad hoc network between vehicle node;When congestion occurs in road ahead, vehicle independently realizes real-time subpath planning to bypass congested link, while vehicle is according to the congested link situation predicted congestion time;The estimated transit time of alternative plans subpath and predicted congestion time determine around congestion or original route are waited for restore unimpeded.The present invention can realize that vehicle adjusts travelling route in real time in the process of moving, and the shortest time is spent to arrive at.

Description

A kind of real-time dynamic path planning method based on vehicular ad hoc network
Technical field
The present invention relates to vehicular ad hoc network technical field, more particularly to a kind of dynamic in real time based on vehicular ad hoc network State paths planning method.
Background technology
Path planning is one of important content of research of intelligent transportation, its core missions are how to find out a consideration " optimal path " of traveler optimizing paths, in order to traveler can be easily in traffic network using the system Successfully arrived at from origin.The problem of crucial in path planning system is shortest route problem and path rule Draw the very corn of a subject.Classical routing algorithm includes dijkstra's algorithm, Floyd algorithms, A* algorithms and based on these Modified hydrothermal process etc. on algorithm, using shortest path and static path that aggregate distance, road quality are calculated as weights, this A little is all to belong to nature static optimal path, being calculated the result is that a unique road of fixation, usually with operating range Most short or running time most it is short as a purpose.
The accuracy and real-time of real-time road condition information are always to influence the principal element of traffic information application, traditional road Condition information collection mode includes the methods of traffic radio and fixation means acquisition.Roadside fixation means data capture method is also Once one of widely used method is specifically included on the major trunk roads in city and has buried underground induction coil to measure vehicle flowrate, also There are other ways that camera is set such as at crossing, road conditions are detected by live-pictures and picture.Also crossroad goes out Radar velocity measurement take a picture the methods of, these methods can obtain car speed, the magnitude of traffic flow and roadway occupancy etc. can be used for into The traffic parameter that walking along the street condition judges.
The basic thought of vehicular ad hoc network is that the vehicle in certain communication range can intercourse respective speed, position The information such as put and data that onboard sensor perceives, and a mobile network is established in connection automatically, emphasize multi-hop, self-organizing, Acentric concept.Physical-layer techniques used by the vehicular ad hoc network system that foreign countries are applied at present are mainly based upon IEEE802.11 and UTRA-TDD technologies, and it is GSM mobile communication technologies, but these belong to center type net that the country is most popular Network framework if being applied to distributed helpless network, needs to carry out various improvement.In addition, at present using relatively broad Ad hoc network MAC protocol be IEEE802.11DCFt2s agreements, Routing Protocol is GPSR (Greedy Perimeter Stateless Routing), optimize Routing Protocol using geographical location.
Invention content
The technical problems to be solved by the invention are to provide a kind of real-time active path planning side based on vehicular ad hoc network Method can realize that vehicle adjusts travelling route in real time in the process of moving, the shortest time is spent to arrive at.
The technical solution adopted by the present invention to solve the technical problems is:It provides a kind of dynamic in real time based on vehicular ad hoc network State paths planning method, includes the following steps:
(1) traffic information, and real-time update are obtained by vehicular ad hoc network between vehicle node;
(2) when congestion occurs in road ahead, vehicle independently realizes real-time subpath planning to bypass congested link, simultaneously Vehicle is according to the congested link situation predicted congestion time;
(3) the estimated transit time of alternative plans subpath and predicted congestion time determine around congestion or wait for former Restore unimpeded in path.
In the step (1) in vehicular ad hoc network, single unit vehicle node needs lead to other vehicles in communication range Row then periodically transmits mutually information by a jump hello message;Single unit vehicle node needs and not other in communication range Hello message is then sent to the vehicle node at most edge in communication range by vehicle communication by multi-hop mode, the vehicle at the most edge Node is further along the nearest next-hop node of the direction finding of destination node vehicle;Wherein, the hello message includes vehicle The speed of node itself, direction, the ID and length for being currently located section.
The judgment mode that congestion occurs in road ahead in the step (2) is:Vehicle is initially first according to static path method An initial path is calculated, vehicle is each in the initial path is constantly collected during being travelled along this initial path The traffic information in section when a certain section or the density of continuous several sections of roads increases above threshold value, illustrates that congestion occurs in the section.
The method of predicted congestion time is in the step (2):The traffic information that vehicle is collected into is included on congested link The quantity of vehicle node, the speed and road section length of each vehicle node learn congested link vehicle according to traffic flow theory calculating Space mean speed, further according to the length computation congestion duration of congested link.
Step (2) the neutron path planning is specially:When vehicle node is advised the starting point of congested link as subpath The starting point drawn, the terminal that the terminal of congested link is planned as subpath, then planned with static path planning method.
If congested link is still had in the subpath that vehicle is calculated, then marked off from this subpath again point Subpath continues to plan, after finally obtaining a unimpeded subpath, vehicle node regathers the road like of unimpeded subpath State information estimates time of the vehicle by this unimpeded subpath according to itself speed.
The step (3) is specially:If the subpath transit time estimated is longer than the congestion duration, arranged at congestion Team, which is waited to road, restores unimpeded;If the subpath transit time estimated is shorter than the congestion duration, then vehicle is selected in son It passes through to bypass congested link on path.
Advantageous effect
As a result of above-mentioned technical solution, compared with prior art, the present invention having the following advantages that and actively imitating Fruit:The present invention realizes the real time monitoring to whole traffic information with the information exchange between vehicle in vehicular ad hoc network network, passes through The congestion time is predicted compared with detouring the time to determine whether vehicle needs to detour with by congested link, so as to fulfill vehicle Travelling route is adjusted in real time in the process of moving, the shortest time to be spent to arrive at.
Description of the drawings
Fig. 1 is the flow chart of the present invention.
Specific embodiment
With reference to specific embodiment, the present invention is further explained.It should be understood that these embodiments are merely to illustrate the present invention Rather than it limits the scope of the invention.In addition, it should also be understood that, after reading the content taught by the present invention, people in the art Member can make various changes or modifications the present invention, and such equivalent forms equally fall within the application the appended claims and limited Range.
Embodiments of the present invention are related to a kind of real-time dynamic path planning method based on vehicular ad hoc network, such as Fig. 1 institutes Show, include the following steps:
The first step:Vehicle obtains an initial path by static path planning method first.
The static path planning method does not consider that traffic changes in real time, only passes through road section length, passage rate etc. Fix information carrys out path planning, and static path planning method can select dijkstra's algorithm etc..
Second step:The real-time road condition information of the initial path is obtained between vehicle node by vehicular ad hoc network.In communication model In enclosing, vehicle periodically transmits mutually information by a jump hello message, includes the speed of vehicle node itself in hello message Degree, direction, the ID for being currently located section and its length etc..Outside communication range, vehicle node is by multi-hop mode, by hello New information is sent to the vehicle node at most edge in communication range, and the node is nearest further along the direction finding of destination node vehicle Next-hop node, by this method downwards transmit.
The real-time road condition information refers to, the quantity of vehicle node on congested link, the speed of each vehicle node, road Segment length etc., and then estimate the density of wagon flow on each section, vehicle node by monitor the variation of each section vehicle metric density come Judge current traffic information, when density increases above threshold value, then judge the section into congestion status.
Third walks:When congestion occurs in road ahead, vehicle independently realizes subpath planning algorithm to bypass congested link, Vehicle is according to the congested link situation predicted congestion time simultaneously.
The subpath planning algorithm refers to, using the starting point of congested link as the starting point of active path planning, congestion Terminal of the terminal in section as active path planning, then calculated with static path planning algorithm, it can be reduced significantly with this The cost of path planning.If congested link is still had in the sub- initial path that vehicle is calculated, then again from this Ge Zi road Subpath is marked off in diameter to continue to plan.After the subpath for finally obtaining a P Passable, at the beginning of vehicle node regathers son The road status information in beginning path can estimate vehicle by this paths to bypass the time of congestion according to itself speed.
The predicted congestion time refers to, can be calculated according to traffic flow theory and learn that the space of congested link vehicle is put down Equal speed, can the predicted congestion duration in the case of known congested link length.
4th step:Compare the scheduled time of new path planning and congestion time, determine around congestion or wait for original route Restore unimpeded.If the subpath transit time estimated is longer than the congestion duration, the needs that illustrate to detour take more time, In this case, vehicle is waited in line to restore unimpeded to road at congestion, then proceedes to advance;If the subpath estimated leads to The row time is shorter than the congestion duration, then vehicle selection passes through to bypass congested link on subpath.
It is not difficult to find that the present invention is realized with the information exchange between vehicle in vehicular ad hoc network network to whole traffic information Real time monitoring, by predict with compared with the congestion time with detour the time come determine vehicle whether need detour with by congestion road Section, adjusts travelling route, the shortest time to be spent to arrive in real time in the process of moving so as to fulfill vehicle.

Claims (5)

1. a kind of real-time dynamic path planning method based on vehicular ad hoc network, which is characterized in that include the following steps:
(1) traffic information, and real-time update are obtained by vehicular ad hoc network between vehicle node;
(2) when congestion occurs in road ahead, vehicle independently realizes real-time subpath planning to bypass congested link, while vehicle According to the congested link situation predicted congestion time;Wherein, subpath, which is planned, is specially:When vehicle node is by the starting point of congested link As the starting point of subpath planning, terminal that the terminal of congested link is planned as subpath, then with static path planning side Method is planned;If congested link is still had in the subpath that vehicle is calculated, then divided from this subpath again Go out molecular path to continue to plan, after finally obtaining a unimpeded subpath, vehicle node regathers the road of unimpeded subpath Line state information estimates time of the vehicle by this unimpeded subpath according to itself speed;
(3) the estimated transit time of alternative plans subpath and predicted congestion time determine around congestion or wait for original route Restore unimpeded.
2. the real-time dynamic path planning method according to claim 1 based on vehicular ad hoc network, which is characterized in that described In step (1) in vehicular ad hoc network, single unit vehicle node needs and other vehicle pass-throughs in communication range then pass through one and jump Hello message periodically transmits mutually information;Single unit vehicle node needs and other vehicle communications not in communication range, then leads to Cross the vehicle node that hello message is sent to most edge in communication range by multi-hop mode, the vehicle node at the most edge further along The nearest next-hop node of the direction finding of destination node vehicle;Wherein, the hello message includes vehicle node itself Speed, direction, the ID and length for being currently located section.
3. the real-time dynamic path planning method according to claim 1 based on vehicular ad hoc network, which is characterized in that described The judgment mode that congestion occurs in road ahead in step (2) is:Vehicle is initially first according at the beginning of static path method calculates one Beginning path, the road conditions that vehicle constantly collects each section in the initial path during being travelled along this initial path are believed Breath when a certain section or the density of continuous several sections of roads increases above threshold value, illustrates that congestion occurs in the section.
4. the real-time dynamic path planning method according to claim 1 based on vehicular ad hoc network, which is characterized in that described The method of predicted congestion time is in step (2):The traffic information that vehicle is collected into includes the number of vehicle node on congested link Amount, the speed and road section length of each vehicle node learn the space average of congested link vehicle according to traffic flow theory calculating Speed, further according to the length computation congestion duration of congested link.
5. the real-time dynamic path planning method according to claim 1 based on vehicular ad hoc network, which is characterized in that described Step (3) is specially:If the subpath transit time estimated is longer than the congestion duration, wait in line at congestion to road Restore unimpeded;If the subpath transit time estimated is shorter than the congestion duration, then vehicle selection on subpath pass through with Around congested link.
CN201610334074.8A 2016-05-19 2016-05-19 A kind of real-time dynamic path planning method based on vehicular ad hoc network Expired - Fee Related CN105810001B (en)

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