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2021 (English)In: Intelligent Transport Systems, From Research and Development to the Market Uptake, Springer, 2021, p. 72-89Conference paper, Published paper (Refereed)
Abstract [en]
This article demonstrates an approach to the simulation of Demand Responsive Transport (DRT) – a flexible transport mode that typically operates as a combination of taxi and bus modes. Travellers request individual trips and DRT is capable of adjusting its routes or schedule to the needs of travellers. It has been seen as a part of the public transport network, which has the potential to reduce operational costs of public transport services, to provide better service quality for population groups with limited mobility and to improve transport fairness. However, a DRT service needs to be thoroughly planned to target the intended user groups, attract a sufficient demand level and maintain reasonable operational costs. As the demand for DRT is dynamic and heterogeneous, it is difficult to simulate it with a macro approach. To address this problem, we develop and evaluate an individual-based simulation comprising models of traveller behaviour for both supply and demand sides. Travellers choose a trip alternative with a mode choice model and DRT vehicle routing utilises a model of travellers’ mode choice behaviour to optimise routes. This allows capturing supply-side operational costs and demand-side service quality for every individual, what allows for designing a personalised service that can prioritise needy groups of travellers improving transport fairness. By simulating different setups of DRT services, the simulator can be used as a decision support tool.
Place, publisher, year, edition, pages
Springer, 2021
Series
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, ISSN 1867-8211, E-ISSN 1867-822X ; 364
National Category
Transport Systems and Logistics Computer Sciences
Research subject
Transportation studies
Identifiers
urn:nbn:se:mau:diva-41490 (URN)10.1007/978-3-030-71454-3_5 (DOI)2-s2.0-85104409614 (Scopus ID)978-3-030-71454-3 (ISBN)978-3-030-71453-6 (ISBN)
Conference
4th International Conference on Intelligent Transport Systems, Virtual Event, December 3, 2020
2021-03-302021-03-302024-06-17Bibliographically approved