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- W637495220 abstract "Travelers’ travel time perceptions are important inputs of route choice models. A Bayesian networks based approach is proposed in this paper to model travelers’ travel time perception for dynamic route choice behavior analysis. The relationships between the traffic states of links are represented by a Bayesian network (BN). The structure of BN is determined according to the characteristics of the road network, and the parameters are learned from data. The dynamic travel time perception process is described as the inference problem of BN. An illustrative example on a small part of Beijing’s road network is described using the probe data provided by CENNAVI company. Through this example, it can be found that the historical experiences, external information providing and travelers’ current perception of travel time during the trips can be considered explicitly and simultaneously using this approach." @default.
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- W637495220 date "2012-01-01" @default.
- W637495220 modified "2023-09-26" @default.
- W637495220 title "Modeling Travelers' Perception of Travel Time for Dynamic Route Choice Behavior Analysis" @default.
- W637495220 hasPublicationYear "2012" @default.
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