MetroWatch: A predictive system to estimate travel attributes using smart card data
In this demonstration, we present a fully data driven solution to retrieve passengers’ actual paths within a metro system that are not captured by an Automated Fare Collection (AFC) system. The majority of public transit systems employ AFC systems with smart cards, which record the exact origin, des...
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| المؤلفون الرئيسيون: | , , |
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| التنسيق: | text |
| اللغة: | English |
| منشور في: |
Institutional Knowledge at Singapore Management University
2023
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ink.library.smu.edu.sg/sis_research/8030 |
| الوسوم: |
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| الملخص: | In this demonstration, we present a fully data driven solution to retrieve passengers’ actual paths within a metro system that are not captured by an Automated Fare Collection (AFC) system. The majority of public transit systems employ AFC systems with smart cards, which record the exact origin, destination, admission time, and exit time of each passenger’s metro trip. Our solution uses AFC data to first infer travel times and route preferences and then estimates the passengers’ travel paths for all trips to provide a statistical view of passengers’ crowdedness inside a metro network over time. |
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