| With the increase in car ownership,the problem of traffic congestion is becoming increasingly prominent.To solve this problem,people are continuously promoting and improving intelligent transportation systems.V2X(Vehicle to Everything),as the core technology of intelligent transportation system,connects cars,roadside infrastructure(such as traffic management systems)and other nearby vehicles,realize vehicle status and traffic information sharing.However,due to the fast-moving performance of the vehicle,information transmission and reception will increase a large amount of routing consumption.By clustering the vehicles,information can be integrated at the clusterheaded vehicle in order to reduce the number of information transmissions,and thus improving the utilization of channel resources.In urban environments,the density of vehicles is high,and traffic congestion often occurs.This dissertation selects a section of road and intersections in the city to investigate V2 X vehicle information transmission schemes,respectively.The following is the main content of the paper.First,in the context of increasing traffic congestion,we introduce the significance of researching the information transmission schemes in the vehicle network and the current research status,and review the related theoretical basis of information transmission in the in-vehicle communication system.Here,the information transmission theory section focuses on the V2 X system architecture,vehicle clustering algorithm,and outlines the related theories of vehicle information security.Second,we select a road in the city as vehicles cluster scenarios.In the case,we select randomly the cluster head vehicle according to clustering algorithm of the LEACH(Low Energy Adaptive Clustering Hierarchy)that utilizes the vehicle with the highest information rate from the base station to the cluster head vehicle.The in-vehicle information is divided into emergency and non-emergency information,and the emergency information is set to use the primary and secondary relay information transmission strategies to reduce the information transmission delay.Non-emergency information is transmitted when the channel is idle.Simulation shows that the improved LEACH algorithm uses "cluster" to improve the channel utilization rate by more than14.49%;compared with the virtual cell in 5G-V2 X communication,the proposed algorithm reduces the average delay of emergency information communication within1000 m by 2.21 ms.Third,we select intersections in the city as vehicles cluster scenarios.Here,we firstly introduce similar functions to maintain the dynamic stability of the cluster,and then we utilize the Webster traffic light timing method to change the state of traffic lights in real time through the traffic flow at intersections,and thus reduce the waiting of vehicles at intersections Delay and the loss time of the signal conversion.In order to prevent some vehicles from sending malicious information to disrupt the traffic order,blockchain technology is used to evaluate the credibility of the message source,and a vehicle trust management scheme is set up to ensure the safety of on-board information.The above scheme is simulated with Veins,i.e.,a virtual simulation platform for the Internet of Vehicles.It is verified that the traffic light timing algorithm for Internet-of-Vehicles safety can reduce the waiting time of vehicles at intersections and alleviate the phenomenon of traffic congestion. |
