Journal of South China University of Technology(Natural Science Edition) ›› 2019, Vol. 47 ›› Issue (6): 127-135.doi: 10.12141/j.issn.1000-565X.180466

• Traffic & Transportation Engineering • Previous Articles     Next Articles

Study on Travel Time Reliability Considering Route Travel Time Boundary

ZHAO Lei1 GUAN Hongzhi1 ZHANG Xinjie1 ZHAO Pengfei1 WANG Pengfei1,2    

  1. 1. College of Architecture and Civil Engineering,Beijing University of Technology,Beijing 100124,China; 2. School of Urban Construction,Hebei Normal University of Science & Technology,Qinhuangdao 066004,Hebei,China 
  • Received:2018-09-14 Revised:2019-01-03 Online:2019-06-25 Published:2019-05-05
  • Contact: 赵磊(1989-),男,博士,主要从事交通行为建模与仿真研究. E-mail:zhaol@emails.bjut.edu.cn
  • About author:赵磊(1989-),男,博士,主要从事交通行为建模与仿真研究.
  • Supported by:
    Supported by the National Natural Science Foundation of China(51338008,51378036),the Natural Science Foundation of Hebei Province(E2018407051) and the University Science Research Project of Hebei Province(QN2018263) 

Abstract: Through assuming the route-free flow travel time as the lower bound of route travel time,the travel time budget model with truncated normal distribution was proposed. And the model was compared with the travel time budget model with general normal distribution. In the multi-class user stochastic network,travelers were assumed to be heterogeneous with respect to their desired on-time arrival probabilities. Then the reliability-based multi-class stochastic user equilibrium model was developed,its equivalent variational inequality formulation was given. The results show that the budget time of travelers under truncated normal distribution is larger than that under general normal distribution. In this case,the risk aversion levels of travelers are context-based adaptive. In addition,the results also demonstrate that the punctual travelers tend to choose the routes with the better reliability. Neverthe- less,the risky travelers prefer to choose the routes with the less average travel time.

Key words: travel time budget, relibility, adaptive risk-averse level, heterogeneous users, stochastic user equi- librium

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