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Microscopic simulation of multi-lane traffic under dynamic tolling and information feedback

  • Tian-liang Liu (刘天亮)
  • Hai-jun Huang (黄海军)Email author
  • Li-jun Tian (田丽君)
Article

Abstract

To investigate drivers’ lane-changing behavior under different information feedback strategies, a microscopic traffic simulation based on the cellular automaton model was made on the typical freeway with a regular lane and a high-occupancy one. A new dynamic tolling scheme in terms of the real-time traffic condition on the high-occupancy lane was further designed to enhance the whole freeway’s flow throughput. The results show that the mean velocity feedback strategy is generally more efficient than the travel time feedback strategy in correctly guiding drivers’ lane choice behavior. Specifically, the toll level, lane-changing rate and freeway’s throughput and congestion coefficient induced by the travel time feedback strategy oscillate with larger amplitude and longer period. In addition, the dynamic tolling scheme can make the high-occupancy lane less congested and maximize the freeway’s throughput when the regular-lane inflow rate is larger than 0.45.

Key words

information feedback strategy dynamic tolling scheme cellular automaton model high-occupancy lane 

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Copyright information

© Central South University Press and Springer Berlin Heidelberg 2009

Authors and Affiliations

  • Tian-liang Liu (刘天亮)
    • 1
  • Hai-jun Huang (黄海军)
    • 1
    Email author
  • Li-jun Tian (田丽君)
    • 1
  1. 1.School of Economics and ManagementBeijing University of Aeronautics and AstronauticsBeijingChina

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