TRIPDECODER: Study Travel Time Attributes and Route Preferences of Metro Systems from Smart Card Data

1 May 2020Xiancai TianBaihua ZhengYazhe WangHsiao-Ting HuangChih-Chieh Hung

In this paper, we target at recovering the exact routes taken by commuters inside a metro system that arenot captured by an Automated Fare Collection (AFC) system and hence remain unknown. We strategicallypropose two inference tasks to handle the recovering, one to infer the travel time of each travel link thatcontributes to the total duration of any trip inside a metro network and the other to infer the route preferencesbased on historical trip records and the travel time of each travel link inferred in the previous inferencetask... (read more)

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