Abstract
We perform analysis of public transport data from March 2015 from The
Hague, the Netherlands, combined from three sources: static network information, automatic vehicles location (AVL) and automated fare collection (AFC) data. We highlight the effect of bunching swings, and show that this phenomenon can be extracted using unsupervised machine learning techniques, namely clustering. We show different cases of bunching swings, some of which can persist for a considerable time. We also show the correlation of bunching rate with passenger load, and bunching probability patterns for working days and weekends. We show, how formations of bunching swings can be extracted, and clustered into four different types, which we name "high passenger load", "whole route", "evening late route", "long duration". We analyse each bunching swings formation type in detail.
Hague, the Netherlands, combined from three sources: static network information, automatic vehicles location (AVL) and automated fare collection (AFC) data. We highlight the effect of bunching swings, and show that this phenomenon can be extracted using unsupervised machine learning techniques, namely clustering. We show different cases of bunching swings, some of which can persist for a considerable time. We also show the correlation of bunching rate with passenger load, and bunching probability patterns for working days and weekends. We show, how formations of bunching swings can be extracted, and clustered into four different types, which we name "high passenger load", "whole route", "evening late route", "long duration". We analyse each bunching swings formation type in detail.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of CASPT 2018 |
| Subtitle of host publication | 23-25 July, Brisbane, Australia |
| Number of pages | 15 |
| 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 |
|---|---|
| Abbreviated title | CASPT 2018 |
| Country/Territory | Australia |
| City | Brisbane |
| Period | 23/07/18 → 25/07/18 |
Keywords
- Public transport
- Machine learning
- Clustering
- Bunching
- Passenger load
- Bunching probability