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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| Main Authors: | , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2021
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| Subjects: | |
| 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 |