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Related Experiment Video

Updated: Sep 30, 2025

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Research on integrated simulation platform for urban traffic control connecting simulation and practice.

Lili Zhang1,2, Qi Zhao3, Pei Yu4

  • 1College of Information Engineering, Beijing Institute of Petrochemical Technology, Beijing, 102617, China. zhanglili@bipt.edu.cn.

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Summary

This study introduces an integrated simulation platform for traffic signal control, bridging the gap between theoretical models and real-world application. The platform enables robust testing of advanced traffic control strategies, ensuring practical viability.

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Area of Science:

  • Intelligent Transportation Systems (ITS)
  • Traffic Engineering
  • Control Systems

Background:

  • Established traffic control models often fail in real-world applications due to simulation-reality gaps.
  • Existing research frequently uses theoretical simulations, limiting practical implementation of advanced algorithms.

Purpose of the Study:

  • To develop and present an integrated simulation platform for traffic signal control.
  • To bridge the gap between theoretical traffic control research and practical application.
  • To enable Hardware-in-the-Loop Simulation (HILS) for traffic signal control.

Main Methods:

  • Designed and developed an "Online Application-HILS-Practice" integrated simulation platform.
  • Detailed the platform's architecture, module functions, and characteristics.
  • Conducted simulations for six complex traffic scenarios, including active control analysis.

Main Results:

  • The platform supports extensive road network simulation.
  • It accommodates multidimensional control variables and diverse control strategies.
  • Demonstrated stable and reliable operation for traffic control simulations.

Conclusions:

  • The integrated simulation platform effectively bridges the gap between traffic control theory and practice.
  • It provides a reliable environment for verifying various traffic control simulations.
  • Facilitates the practical application of advanced traffic control algorithms.