Journal of System Simulation ›› 2023, Vol. 35 ›› Issue (12): 2624-2640.doi: 10.16182/j.issn1004731x.joss.22-0814

• Papers • Previous Articles     Next Articles

Research and Design of ETC Simulation Platform for Expressway

Zou Fumin1,2(), Guo Feng1,2(), Luo Sijie2, Liao Lüchao3, Li Nan2, Xing Yue2   

  1. 1.College of Computer and Data Science, Fuzhou University, Fuzhou 350108, China
    2.Fujian Key Laboratory for Automotive Electronics and Electric Drive, Fujian University of Technology, Fuzhou 350118, China
    3.Fujian Provincial Universities Key Laboratory of Industrial Control and Data Analysis, Fujian University of Technology, Fuzhou 350118, China
  • Received:2022-07-14 Revised:2022-08-15 Online:2023-12-15 Published:2023-12-12
  • Contact: Guo Feng E-mail:fmzou@fjut.edu.cn;n180310004@fzu.edu.cn

Abstract:

It is difficult to quantitatively calculate and display the real-time traffic situation of expressway ETC system, and there is no simulation system for ETC to optimize the operating situation. A simulation system based on ETC data in proposed, in witch there are three key algorithms. ETC data feature extraction algorithm provides the feature of generating simulation data for the simulation platform. The improved multitask scheduling algorithm has the computing ability of multitasks in simulation environment. The algorithm of expressway traffic flow control strategy provides the decision index for traffic flow control on the way. The experimental results show that the proposed system can effectively extract the features of ETC data, and is better than other algorithms, which can realize the overall traffic flow control and optimization of simulation road network.

Key words: simulation technology, feature recognition, multi task scheduling, traffic flow control, expressway

CLC Number: