Stochastic user equilibrium model based on trip chain analysis under multi-modal guidance

Dan Zhao, Chun Fu Shao, Hao Yue, Juan Li, Meng Meng

Research output: Contribution to journalArticlepeer-review

2 Citations (SciVal)


In order to evaluate the impact of multi-modal guidance information on the traffic assignment in the integrated transportation network, a trip-chain-based probit stochastic user equilibrium model was proposed to study the variations of travelers' choice of combined trip mode, trip-chain cost and trip-chain structure under the multi-modal guidance. A MSA algorithm with Monte-Carlo method embedded was presented to solve the model. In the model, travelers were divided into two groups by accepting multi-modal guidance information or not, and both groups make choices according to their own expected cost of trip chains. In the course of solution, hyper-network theory was introduced, and traffic flow assignment was carried out on the hyper-network. The results show that multi-modal guidance information helps to increase the mode split rate of public transport by 5.63%, and the network benefit reach 196.254. It can be confirmed that multi-modal guidance information contributes to encourage travelers to decrease the use of car, and reduce trip-chain cost and simplify trip-chain structure.

Original languageEnglish
Pages (from-to)82-88
Number of pages7
JournalJilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition)
Issue number1
Publication statusPublished - 1 Jan 2015

Bibliographical note

Publisher Copyright:
©, 2014, Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition). All right reserved.


  • Combined travel mode
  • Engineering of communication and transportation system
  • Stochastic user equilibrium
  • Traffic guidance information
  • Trip chain

ASJC Scopus subject areas

  • General


Dive into the research topics of 'Stochastic user equilibrium model based on trip chain analysis under multi-modal guidance'. Together they form a unique fingerprint.

Cite this