Simulation And Analysis Of Intelligent Connectedvehicle's Traffic Efficiency

With the increasing number of automobiles,traffic congestion has become more and more serious.Governments and scholars in various countries actively seek solutions.With the rapid development of big data,cloud computing and information and communication technology,Intelligent and Connected Vehicles(ICV)came into being.At present,low speed automatic driving vehicle has begun to fall.In the next few years,driverless cars will appear in people's lives.But the driverless cars completely covering is not very easy.It will become a process rather than an event.Therefore,in the future there will be a driver and vehicle automatic driving vehicle mixed state for a long time.The on-ramp entrance which the throat of traffic is the important place for vehicle gathering and turning.Here,the driver must judge his own route,speed and direction,which is one of the main scenarios of traffic congestion.In this paper,the attention is focused on on-ramp entrance.The influence of the penetration rate of intelligent and connected vehicle on alleviating traffic congestion and improving road traffic efficiency under mixed state is studied.This paper analyses the process of Intelligent Network United Vehicle's on-ramp entry.There are three main steps: the first step is to detect the vehicles entering the on-ramp entry area,the second step is to sort the vehicles according to the time when they reach the onramp entry point,and send the information of the sorting results to the vehicles.The third step is to control the fleet and complete the merger.This paper investigates the car-following model,and compares the advantages and disadvantages of the car-following model as well as the adaptation scenarios.Finally,the following model of drivers and vehicles is determined as Intelligent Driver Model(IDM)and CACC(Cooperative Adaptive Cruise Control)model as the following model of Intelligent Networked Vehicles.Based on the gap acceptance theory,an IDM inbound model is established,and an on-ramp access control model for intelligent networked vehicles is proposed.Then,the joint simulation platform of SUMO and MATLAB is built.The interface provided by SUMO is used to realize the information interconnection between MATLAB and SUMO.The simulation scenario is built in SUMO,and the algorithm calculation and results are achieved in MATLAB.Finally,the simulation analysis of single lane and on-ramp intersection is completed,which verifies the feasibility of the model and compares the impact of intelligent network vehicle on road capacity under different permeability.The results show that with the increasing permeability of intelligent network vehicle,road capacity increases continuously.Therefore,the development of Intelligent Network Union Vehicle can effectively alleviate traffic pressure and bring great convenience to people's travel.The ramp entrance inflow model proposed in this paper has good vehicle queue stability and high traffic efficiency.