A Traffic Flow Evolution Process toward Mixed Equilibrium with Multicriteria of Route Choice Behaviour
Joint Authors
Jiang, Xiangjun
Huang, Zhongxiang
Zhao, Zhenyu
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-06
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Based on the price-quantity adjustment behaviour principle of disequilibrium theory, the route choices of travellers are also affected by a quantity signal known as traffic flow, while the route cost is considered as a price signal in economics.
Considering the quantity signal’s effect among travellers, a new route comfort choice behaviour criterion and its corresponding equilibrium condition are established.
The network travellers are classified into three groups according to their route choice behaviour: travellers in the first group choose the shortest route following the route rapidity behaviour criterion with complete information forming the UE (user equilibrium) pattern, travellers in the second group choose the most comfortable route following the route comfort behaviour criterion with complete information forming the QUE (quantity adjustment user equilibrium) pattern, and travellers in the third group choose a route according to their perceived travel time with incomplete information forming the SUE (stochastic user equilibrium) pattern.
The traffic flows of all three groups converge to a new UE-QUE-SUE mixed equilibrium flow pattern after interaction.
To depict the traveller-diversified choice behaviour and the traffic flow interaction process, a mixed equilibrium traffic flow evolution model is formulated.
After defining the route comfort indicator and the corresponding user equilibrium state, the equilibrium conditions of the three group flows are given under a mixed equilibrium pattern.
In addition, an equivalent mathematical programming of the mixed equilibrium traffic flow evolution model is proposed to demonstrate that the developed model converges to the mixed equilibrium state.
Finally, numerical examples are examined to evaluate the effect of route comfort proportions on the traffic network flow evolution and analyse the performance of the proposed model.
American Psychological Association (APA)
Jiang, Xiangjun& Huang, Zhongxiang& Zhao, Zhenyu. 2020. A Traffic Flow Evolution Process toward Mixed Equilibrium with Multicriteria of Route Choice Behaviour. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1175365
Modern Language Association (MLA)
Jiang, Xiangjun…[et al.]. A Traffic Flow Evolution Process toward Mixed Equilibrium with Multicriteria of Route Choice Behaviour. Journal of Advanced Transportation No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1175365
American Medical Association (AMA)
Jiang, Xiangjun& Huang, Zhongxiang& Zhao, Zhenyu. A Traffic Flow Evolution Process toward Mixed Equilibrium with Multicriteria of Route Choice Behaviour. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1175365
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175365