Abstract
The recent technological innovations have given rise to innovative mobility solutions. Public transport systems combining such services need novel models for the design of services. We develop a multimodal route choice and assignment model for combined use of line/schedule based public transport systems (fixed public transport) and demand responsive services (flexible public transport). The model takes into account the dynamic demand-supply interaction using an iterative learning model framework. Flexible public transport can be used to perform any part of the trip, ranging from a first/last mile service to an exclusive direct door-to-door connection. The developed model is implemented in an agent based simulation framework. The model is applied to the test network of Sioux Falls. Results, in terms of modal split, fleet utilization, and passenger waiting times are analysed for scenarios in which fixed and flexible public transport are offered as competing modes as well as potential complementing modes.
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 | 10 |
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
- Agent-based simulation
- Multi modal path choice
- Demand Responsive Transport
- demand responsive public transport
- public transport