Industrial Networks and Intelligent Systems. 3rd International Conference, INISCOM 2017, Ho Chi Minh City, Vietnam, September 4, 2017, Proceedings

Research Article

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

Download
96 downloads
  • @INPROCEEDINGS{10.1007/978-3-319-74176-5_18,
        author={Dang-Truong Thinh and Hoang-Van Dong and Nguyen-Ngoc Doanh and Nguyen-Thi-Ngoc Anh},
        title={Coupling Statistical and Agent-Based Models in the Optimization of Traffic Signal Control},
        proceedings={Industrial Networks and Intelligent Systems. 3rd International Conference, INISCOM 2017, Ho Chi Minh City, Vietnam, September 4, 2017, Proceedings},
        proceedings_a={INISCOM},
        year={2018},
        month={1},
        keywords={},
        doi={10.1007/978-3-319-74176-5_18}
    }
    
  • Dang-Truong Thinh
    Hoang-Van Dong
    Nguyen-Ngoc Doanh
    Nguyen-Thi-Ngoc Anh
    Year: 2018
    Coupling Statistical and Agent-Based Models in the Optimization of Traffic Signal Control
    INISCOM
    Springer
    DOI: 10.1007/978-3-319-74176-5_18
Dang-Truong Thinh1,*, Hoang-Van Dong1,*, Nguyen-Ngoc Doanh,*, Nguyen-Thi-Ngoc Anh,*
  • 1: Hanoi University of Science and Technology
*Contact email: truongthinh074@gmail.com, donghv.mi@gmail.com, doanh.nguyenngoc@edu.tl, anh.nguyenthingoc@hust.edu.vn

Abstract

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.