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

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

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

Internet

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

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