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Aiming at the influence of information, we investigate and analyze the sequential route choice behavior under dynamic reference points based on cumulative prospect theory in this paper. An experiment platform collecting the sequential route choices based on C/S structure is designed and four types of information are released to participants, respectively. Real-time travel time prediction methods are then proposed for travelers' decision-making. Using nonlinear regression method, the parametersdoi:10.1155/2020/8081576 fatcat:s4tk5y6z6vflfdyibllm26g264