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Traffic flow simulation of modified cellular automata model based on producer-consumer algorithm.

Xuefeng Deng1, Yi Shao1, Jiaxin Song1

  • 1College of Information Science and Engineering, Shanxi Agricultural University, Taigu, Shanxi, China.

Peerj. Computer Science
|October 20, 2022
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Summary

This study introduces an improved cellular automata model for intelligent connected vehicles. The new model enhances traffic flow simulation and significantly reduces traffic congestion compared to traditional methods.

Keywords:
Cellular automataNaSch modelProducer-consumerSimulationTraffic flow

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Area of Science:

  • Traffic engineering
  • Intelligent transportation systems
  • Complex systems modeling

Background:

  • The rise of the Internet of Vehicles and Internet of Things drives research in intelligent connected vehicles.
  • Traffic flow modeling and simulation are crucial for analyzing traffic characteristics and congestion dynamics.
  • Cellular automata are well-suited for simulating complex systems like traffic flow due to vehicle randomness and discreteness.

Purpose of the Study:

  • To develop an improved cellular automata model for simulating traffic flow of intelligent connected vehicles.
  • To enhance the analysis of traffic flow characteristics and congestion in intelligent network environments.
  • To provide a theoretical basis for addressing traffic problems in intelligent transportation systems.

Main Methods:

  • Based on the traditional Nagel-Schreckenberg (NaSch) model.
  • Introduction of the producer-consumer algorithm for a multi-buffer vehicle information access mode.
  • Construction of an improved cellular automata model incorporating random updates.

Main Results:

  • The improved cellular automata model demonstrates significant improvements in traffic congestion compared to the original NaSch model.
  • Simulation results align with real-world traffic situations in intelligent network environments.
  • The model effectively simulates traffic flow characteristics specific to intelligent connected vehicles.

Conclusions:

  • The proposed algorithm effectively simulates intelligent connected vehicle traffic flow.
  • The improved model offers a significant enhancement for traffic congestion management.
  • This research provides a valuable theoretical foundation for intelligent transportation system development.