Abstract
In this extended abstract, we show the supervised learning approach to
predicting passenger load of trams, based on historical passenger load patterns. We look at two different cases: predicting long-term passenger load of any given day and time, and predicting short-term passenger load at a particular public transport vehicle.
predicting passenger load of trams, based on historical passenger load patterns. We look at two different cases: predicting long-term passenger load of any given day and time, and predicting short-term passenger load at a particular public transport vehicle.
Original language | English |
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Title of host publication | Proceedings of Conference on Advanced Systems in Public Transport (CASPT) 2018 |
Subtitle of host publication | 23-25 July, Brisbane, Australia |
Number of pages | 8 |
Publication status | Published - 2018 |
Event | Caspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018 - Brisbane Convention and Exhibition Centre, Brisbane, Australia Duration: 23 Jul 2018 → 25 Jul 2018 Conference number: 14 |
Conference
Conference | Caspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018 |
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Abbreviated title | CASPT 2018 |
Country/Territory | Australia |
City | Brisbane |
Period | 23/07/18 → 25/07/18 |
Keywords
- Public transport
- Hubs
- passenger load
- supervised learning
- prediction