Equilibrium Assignment Model and Algorithm for Multi-Modal Considering Distance Factor

DOI

10.2991/iceesd-18.2018.180How to use a DOI?

Keywords

urban traffic; travel distance; user equilibrium; multimodal traffic super network; algorithm

Abstract

Travel distance is an important factor that influences the traffic mode choice and route choice. Considering the influences that travel distance exerts on different perceived costs, a multimodal user equilibrium assignment method is proposed. Firstly, travel behaviors of travelers in the multimodal transportation system are analyzed. Based on the graph theory, a multimodal super-network model is described, besides the effective hyper-path and the sub-path is defined. Secondly, the calculation methods of two main quantitative factors including time and cost in different travel processes are analyzed, and the generalized cost functions of travel are constructed considering the impacts that travel distance exerts on the perceived costs of travelers. On the basis of these mentioned above, a multimodal traffic network assignment model based on user equilibrium criterion is proposed, and a shortest path search algorithm based on sub-path cost is proposed. Finally, a simple example is applied to validate the model. The results show that the proposed model and algorithm are feasible and effective.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhou Hao
PY  - 2018/05
DA  - 2018/05
TI  - Equilibrium Assignment Model and Algorithm for Multi-Modal Considering Distance Factor
BT  - Proceedings of the 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018)
PB  - Atlantis Press
SP  - 994
EP  - 1003
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceesd-18.2018.180
DO  - 10.2991/iceesd-18.2018.180
ID  - Hao2018/05
ER  -