TRIPDECODER: Study travel time attributes and route preferences of metro systems from smart card data

• Main Authors: TIAN, Xiancai, ZHENG, Baihua, WANG, Yazhe, HUANG, Hsao-Ting, HUNG, Chih-Cheng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: metro systems; smart card data; travel time inference; route choice; preference estimation; maximum likelihood estimation; Databases and Information Systems; Numerical Analysis and Scientific Computing; Transportation
• Online Access: https://ink.library.smu.edu.sg/sis_research/5896; https://ink.library.smu.edu.sg/context/sis_research/article/6899/viewcontent/17._TRIPDECODER_Study_Travel_Time_Attributes_and_Route_Preferences_of_Metro_Systems_from_Smart_Card_Data_ACMTransonDataScience_May20_.pdf
• Institution: Singapore Management University

In this paper, we target at recovering the exact routes taken by commuters inside a metro system that are not captured by an Automated Fare Collection (AFC) system and hence remain unknown. We strategically propose two inference tasks to handle the recovering, one to infer the travel time of each tr...