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Impacts of variable message signs on en-route route choice behavior

Author

Listed:
  • Zhao, Wenjing
  • Ma, Zhuanglin
  • Yang, Kui
  • Huang, Helai
  • Monsuur, Fredrik
  • Lee, Jaeyoung

Abstract

Variable message signs (VMS) have been widely applied to alleviate traffic congestion by providing spatiotemporal information related to traffic and network conditions to drivers. There is a debate on whether the VMS information would lead to the less-alleviation of congestion or congestion transfer to the adjacent roads in the different traffic congestion situations due to the inappropriate VMS information. Additionally, it is still unknown how to find a practically applicable method to design the most effective VMS information for drivers.

Suggested Citation

  • Zhao, Wenjing & Ma, Zhuanglin & Yang, Kui & Huang, Helai & Monsuur, Fredrik & Lee, Jaeyoung, 2020. "Impacts of variable message signs on en-route route choice behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 335-349.
    • Handle: RePEc:eee:transa:v:139:y:2020:i:c:p:335-349
    DOI: 10.1016/j.tra.2020.07.015
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    References listed on IDEAS

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    3. Xie, Jiaohong & Yang, Zhenyu & Lai, Xiongfei & Liu, Yang & Yang, Xiao Bo & Teng, Teck-Hou & Tham, Chen-Khong, 2022. "Deep reinforcement learning for dynamic incident-responsive traffic information dissemination," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).

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