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  • 标题:Heuristic-Based Journey Planner for Mobility as a Service (MaaS)
  • 本地全文:下载
  • 作者:Panagiotis Georgakis ; Adel Almohammad ; Efthimios Bothos
  • 期刊名称:Sustainability
  • 印刷版ISSN:2071-1050
  • 出版年度:2020
  • 卷号:12
  • 期号:23
  • 页码:10140
  • DOI:10.3390/su122310140
  • 语种:English
  • 出版社:MDPI, Open Access Journal
  • 摘要:The continuing growth of urbanisation poses a real threat to the operation of transportation services in large metropolitan areas around the world. As a response, several initiatives that promote public transport and active travelling have emerged in the last few years. Mobility as a Service (MaaS) is one such initiative with the main goal being the provision of a holistic urban mobility solution through a single interface, the MaaS operator. The successful implementation of MaaS requires the support of a technology platform for travellers to fully benefit from the offered transport services. A central component of such a platform is a journey planner with the ability to provide trip options that efficiently integrate the different modes included in a MaaS scheme. This paper presents a heuristic that implements a scenario-based journey planner for users of MaaS. The proposed heuristic provides routes composed of different modes including private cars, public transport, bike-sharing, car-sharing and ride-hailing. The methodological approach for the generation of journeys is explained and its implementation using a microservices architecture is presented. The implemented system was trialled in two European cities and the analysis of user satisfaction results reveal good overall performance.
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