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Research On Multi-Vehicle Cooperative Collision Warning Protocol Based On Location Information

Posted on:2022-10-19Degree:MasterType:Thesis
Country:ChinaCandidate:M K NiuFull Text:PDF
GTID:2532307109464934Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
In recent years,with the continuous growth of car ownership and the number of drivers,car serial collision accidents have occurred frequently.On the highway,due to the vehicle distance,high speed,poor vision,road conditions and the influence of wireless channel communication quality,the rear and after the abnormal car is difficult to avoid obstacles in time.If the abnormal vehicle can send the emergency warning information to the rear endangere d vehicle within its communication range when the accident happens,the car serial collision accident rate can be reduced.In order to improve the transmission efficiency of emergency warning information of vehicles in complex channel environment,reduce t he delay of warning information,realize the coordinated warning of multi-vehicle collision and reduce the incidence rate of highway serial collision,the following contents are studied in this paper.Firstly,this paper proposes a vehicle abnormal state recognition and early warning mechanism.This application is aimed at simulator of vehicle ECU(Electronic Control Unit),combined with DTW(Dynamic Time Warping)algorithm to identify dangerous driving behavior of vehicles,provide real-time monitoring services for vehicle data,detect abnormal data Early warning of driving behavior and generation of early warning information to trigger the operation of the routing protocol mentioned in this article.Secondly,a multi-vehicle collision collaborative early warning protocol based on location information is proposed.This paper studies the GPSR(Greedy Perimeter Stateless Routing)and IEEE 802.11 p protocols,analyzes the forwarding of emergency warning information,the retreat process after collision and the unreliability of the transmission of emergency warning information in the complex channel environment.On this basis,a cooperative early warning protocol for multi-vehicle collisions based on location information is proposed.The protocol selects the preferred and candidate forwarders within the communication range,and adopts the channel competition mechanism based on the density of neighboring nodes when choosing the retreat time.The simulation results show that the proposed protocol has good performance compared with GPSR and BEB(Binary Exponential Back-off)based on IEEE 802.11 p,improves the transmission success rate of emergency warning information,reduces the delay,and provides a reliability guarantee for the transmission of emergency warning infor mation under the environment of complex channel communication quality.Finally,this paper realizes the visual simulation of the multi-vehicle collision collaborative early warning protocol.Combined with the protocol proposed in this paper,a visual traffic simulation environment is built.Through Socket communication,the interaction between MATLAB and VISSIM simulation platform is realized,the real-time transmission of vehicle position information and forwarding node information is carried out.The data interaction between the proposed protocol and VISSIM as well as the vehicle motion state information interaction is realized,and the co-simulation of the multi-vehicle collision collaborative early warning protocol based on micro-traffic simulation software VISSIM is completed.The content studied in this paper provides ideas for solving the problem of frequent collision accidents on the highway.The simulation results show that the research content can effectively improve the transmission success rate of emergency warning information,reduce the delay,provide reliability guarantee for the transmission of emergency warning information in complex channel environment,and reduce the incidence of highway serial collisions accident.
Keywords/Search Tags:VANET, routing protocol, multi-hop broadcast, forwarding candidate
PDF Full Text Request
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