Coupling Statistical and Agent-Based Models in the Optimization of Traffic Signal Control

  • Dang-Truong Thinh
  • Hoang-Van Dong
  • Nguyen-Ngoc Doanh
  • Nguyen-Thi-Ngoc AnhEmail author
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 221)


There have been two directions to target to the problem of Traffic Signal Control (TSC): macroscopic and microscopic. On one hand, macroscopic help to find the optimal solution with an assumption of homogenization (both for vehicles and environment). On the other hand, microscopic one can take into account heterogeneity in vehicles as well as in environment. Therefore, it is very important to couple the two directions in the study of TSC. In this paper, we proposed to couple statistical and agent-based models for TSC problem in one intersection. The experiment results indicated that the proposed model is sufficient good in comparison with some others TSC strategies.


Traffic Signal Control (TSC) Agent-based Model Light Aging Vehicle Agent Yellow State 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Dang-Truong Thinh
    • 1
  • Hoang-Van Dong
    • 1
  • Nguyen-Ngoc Doanh
    • 2
    • 3
  • Nguyen-Thi-Ngoc Anh
    • 1
    • 3
    Email author
  1. 1.Hanoi University of Science and TechnologyHanoiVietnam
  2. 2.Thuy Loi UniversityHanoiVietnam
  3. 3.IRD, Sorbonne Universités, UPMC Univ Paris 06 UMMISCOBondy CedexFrance

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