Affiliations: [a] School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China
| [b] National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu, China
| [c]
National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Chengdu, China
| [d] China Railway No. 2 Engineering Group Co., LTD, Chengdu, China
Correspondence:
[*]
Corresponding author. Jin Zhang, School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China. E-mail: [email protected].
Abstract: In order to study the influence of travelers’ self-adaptive adjustment behavior on transportation network under the assumption of bounded rationality, using cellular automaton to discretize the selection model under the analytic paradigm in the existing research, abstract each cell into a traveler, and describe the traveler characteristics with finite rationality characteristics through the travel risk attitude and travel generalized cost budget. Cellular automata and cumulative prospect theory is used to establish the travel route choice model, giving the dynamic evolution process of different reference points for travelers and taking the actual regional transportation network of Sichuan Tibet region in China as the study object, analyzes the impact of bounded rational travel behavior on route choice. The model and algorithm proposed in our study can not only guide the transportation organization of Sichuan Tibet region, but also provide theoretical support for the implementation of regional transportation planning and traffic control scheme in the future.
