Urban road capacities are influenced by various factors, such as traffic accidents, vehicle breakdowns, traffic signal failures, road construction and weather variations. This paper takes into account the uncertainty of road conditions and analyzes the choice behaviors of travelers who are risk averse based on stochastic capacity. The level of risk aversion in this study is closely related to stochastic link capacities, which represent the degree of sensitivity to changes in capacity. Both sensitivity and awareness affect the behavior of travelers. All types of travelers choose the route that minimizes their travel disutility. To address this issue, we adopt a stochastic equilibrium assignment model and utilize the Method of Successive Averages (MSA) algorithm to solve it. A 9-node network is presented to illustrate the proposed model. Simulation results show that the impact of sensitivity differs with changes in awareness. The best results are achieved when sensitivity and awareness are combined, and excessive sensitivity is detrimental to travelers.
Choice behaviors of travelers with risk aversion under stochastic capacity
Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023) ; 2023 ; Hangzhou, China
Proc. SPIE ; 12790
2023-09-07
Conference paper
Electronic Resource
English
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