Traffic Flow Simulation of Shared Electric Vehicles Based on Vissim

Abstract:

As a new choice of transportation， shared electric vehicles have a broad prospect and market. It is of great significance to study their traveling data and understand their traveling laws. In this paper， a method was designed to extract the effective data based on the actual scene， which was used to collect the real trip data of shared electric vehicles and to reveal the traveling characteristics of shared electric vehicles. The basic traffic data were collected and counted， the simulation models of intersections were built for morning and evening rush hours and other times， and the method to predict the maximum traffic volume of shared electric vehicles at intersections and road sections was designed. The simulation and prediction experiment was conducted， which validated the analysis result of the traveling characteristics of the shared electric vehicles to a certain extent. The research results have a guiding significance for relevant operation strategies of time-sharing leasing companies， and can provide users with the choice of traveling time and route.