Intelligent Transport Systems, From Research and Development to the Market Uptake. 4th EAI International Conference, INTSYS 2020, Virtual Event, December 3, 2020, Proceedings

Research Article

An Individual-Based Simulation Approach to Demand Responsive Transport

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  • @INPROCEEDINGS{10.1007/978-3-030-71454-3_5,
        author={Sergei Dytckov and Fabian Lorig and Johan Holmgren and Paul Davidsson and Jan A. Persson},
        title={An Individual-Based Simulation Approach to Demand Responsive Transport},
        proceedings={Intelligent Transport Systems, From Research and Development to the Market Uptake. 4th EAI International Conference, INTSYS 2020, Virtual Event, December 3, 2020, Proceedings},
        proceedings_a={INTSYS},
        year={2021},
        month={7},
        keywords={Demand Responsive Transport Simulation},
        doi={10.1007/978-3-030-71454-3_5}
    }
    
  • Sergei Dytckov
    Fabian Lorig
    Johan Holmgren
    Paul Davidsson
    Jan A. Persson
    Year: 2021
    An Individual-Based Simulation Approach to Demand Responsive Transport
    INTSYS
    Springer
    DOI: 10.1007/978-3-030-71454-3_5
Sergei Dytckov1, Fabian Lorig1, Johan Holmgren1, Paul Davidsson1, Jan A. Persson1
  • 1: K2 – The Swedish Knowledge Centre for Public Transport, Malmö University

Abstract

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.