Modeling the Traveler’s Route Choice Behavior under Unexpected Accidents

نویسندگان

چکیده

To investigate the route choice behavior of travelers under unexpected accidents, this study designs four different scenarios travelers’ experiments according to severity accidents. The bounded rationality characteristics travelers, such as time perception difference coefficient, psychological threshold effect and scale effect, are introduced into generalized random regret minimization (GRRM) model. An improved (IGRRM) model is constructed based on collected data results congestion-level analyzed by IGRRM finds that with increase in congestion level, more willing change route; during commute, tend choose less travel angular cost; moderate serious scenarios, no longer reject detour attribute difference, effect; affect behavior. can accurately characterize provide a basis for traffic flow distribution benefit management departments take control guidance measures ease caused

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ژورنال

عنوان ژورنال: Journal of Advanced Transportation

سال: 2023

ISSN: ['0197-6729', '2042-3195']

DOI: https://doi.org/10.1155/2023/7864340