Work-In-Progress: Headway Optimisation in Competitive Public Transport Systems

Sergey Lupin; Than Shein; Roustiam Chakirov; Yuriy Vagapov

1st International Conference on Industrial Networks and Intelligent Systems

Research Article

Work-In-Progress: Headway Optimisation in Competitive Public Transport Systems

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@INPROCEEDINGS{10.4108/icst.iniscom.2015.258405,
    author={Sergey Lupin and Than Shein and Roustiam Chakirov and Yuriy Vagapov},
    title={Work-In-Progress: Headway Optimisation in Competitive Public Transport Systems},
    proceedings={1st International Conference on Industrial Networks and Intelligent Systems},
    publisher={ICST},
    proceedings_a={INISCOM},
    year={2015},
    month={4},
    keywords={transport systems optimisation of control system competition headways optimisation},
    doi={10.4108/icst.iniscom.2015.258405}
}

Sergey Lupin
Than Shein
Roustiam Chakirov
Yuriy Vagapov
Year: 2015
Work-In-Progress: Headway Optimisation in Competitive Public Transport Systems
INISCOM
ICST
DOI: 10.4108/icst.iniscom.2015.258405

Sergey Lupin¹, Than Shein¹, Roustiam Chakirov², Yuriy Vagapov³^,*

1: National Research University of Electronic Technology
2: Bonn-Rhein-Sieg University of Applied Science
3: Glyndwr University

*Contact email: y.vagapov@glyndwr.ac.uk

Abstract

The paper presents a new control strategy of management of transport companies operating in completive transport environment. It is aimed to optimise the headway of transport companies to provide the balance between costs and benefits of operation under competition. The model of transport system build using AnyLogic comprises agent-based and discrete-event techniques. The model combined two transport companies was investigated under condition of the competition between them. It was demonstrated that the control strategy can ensure the balance of interests of transport companies trying to find compromise between cost of operation and quality of service.

Keywords: transport systems optimisation of control system competition headways optimisation

Published: 2015-04-09
Publisher: ICST

: http://dx.doi.org/10.4108/icst.iniscom.2015.258405