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Risk-taking path choice behaviors under ATIS in transportation networks with demand uncertainty

  • Hu Shao*
  • , Qiong Tian
  • , Xiaoming Yuan
  • , Guodong Wang
  • *此作品的通讯作者
  • China University of Mining and Technology
  • Shanghai Jiao Tong University

科研成果: 期刊稿件文章同行评审

摘要

A new travel time reliability-based traffic assignment model is proposed to investigate the effects of an advanced transportation information system (ATIS) on drivers' risk-taking path choice behaviours in transportation networks with demand uncertainty. In the model, drivers are divided into two classes. The first class is not equipped with ATIS, while the second class is equipped with ATIS. Different risk-taking path choice behaviours of the two classes are studied, respectively. A corresponding mixed equilibrium traffic assignment model is formulated as a variational inequality problem in terms of path flows, which is solved by a heuristic solution algorithm. Numerical results indicate that the ATIS can influence the drivers' risk-taking path choice behaviours and the total system travel time in transportation networks with demand uncertainty. It is also found that under higher demand levels, the benefits of ATIS for network performance enhancement may be more obvious.

源语言英语
页(从-至)43-48
页数6
期刊Journal of Southeast University (English Edition)
24
SUPPL.
出版状态已出版 - 6月 2008

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