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Route-choice models reflecting the use of travel navigation information in a vehicle-based microscopic simulation system

机译:路线选择模型反映了基于车辆的微观仿真系统中旅行导航信息的使用

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To evaluate the impacts of traveller information through microscopic simulation, it is essential and critical to build route-choice models that are expected to correctly represent the use of traveller information by various categories of drivers. Urban commuters' route choices are usually based on the perceived delay between actual arrival time and preferred arrival time (indifference band of route delay). In this study, a fuzzy set is used to represent the effect of an indifference band of route delay on the tendency for a specific category of drivers to change routes. Fuzzy sets are used to describe the reactions of drivers to traveller information with respect to their tendency to change routes. This methodology shows potential to more realistically represent the effects of real-time information on route choice than can be accomplished using binary choice models.
机译:为了通过微观仿真评估旅行者信息的影响,建立路线选择模型至关重要且至关重要,该模型可以正确代表各种类别的驾驶员对旅行者信息的使用。城市通勤者的路线选择通常基于实际到达时间与首选到达时间之间的感知延迟(路径延迟的差异带)。在这项研究中,模糊集用于表示路线延迟的无差异带对特定类别的驾驶员更改路线的趋势的影响。模糊集用于描述驾驶员对旅行者信息的改变路线的反应。与使用二元选择模型相比,这种方法显示了更现实地表示实时信息对路线选择的影响的潜力。

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