Research on optimization and evaluation method of the car following model based on SUMO application test scenario

Abstract

In terms of Vehicle to Everything (V2X) testing and evaluation, Hardware-in-the-loop (HIL) simulation has become an indispensable technology. In the research of HIL testing, it is necessary to use micro-traffic simulation software to build scenarios and simulate traffic objects to meet the testing requirements of complex traffic scenarios for the Internet of Vehicles (IOV). However, the performance of the micro-simulation model deadly influences simulation accuracy. Hence, in this paper, an improved micro-simulation model is constructed on basis of the Krauss model, and an application test scheme is designed. Simulation results show that the improved model solves the problem of acceleration changing abruptly, and improves the effectiveness and practicability of the V2X in-loop test.