吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (1): 82-88.doi: 10.13229/j.cnki.jdxbgxb201501013

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

ZHAO Dan1,2,SHAO Chun-fu1,2,YUE Hao1,2,LI Juan1,2,MENG Meng1,2   

  1. 1.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;
    2.Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Ministry of Education, Beijing 100044, China
  • Received:2012-11-28 Online:2015-02-01 Published:2015-02-01

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Abstract: 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.

Key words: engineering of communication and transportation system, trip chain, stochastic user equilibrium, traffic guidance information, combined travel mode

CLC Number: 

  • U491.1
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