MaaS Blender: Integration of Mobility Simulators for Mobility as a Service Evaluation

被引:0
作者
Fujita, Yukihisa [1 ]
Kuwahara, Masahiro [1 ]
Ueda, Eiji [2 ]
机构
[1] Toyota Motor Co Ltd, Connected Adv Dev Div, InfoTech, Tokyo 1000004, Japan
[2] Future Technol Lab Inc, Aichi 4600007, Japan
关键词
Event drive architecture; mobility as a service; simulator integration; user and mobility behavior model;
D O I
10.1109/ACCESS.2023.3319079
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With advances in information technology over the past decade, new mobility services have been developed and the concept of mobility as a service (MaaS) has become an achievable reality. There have been several attempts to implement MaaS, which is expected to be beneficial for users, practically. However, policy-makers have found estimating the effects of practical MaaS implementation challenging, as the integrated behavior of two or more mobility services is difficult to understand. In this study, we propose an event-based simulator integration mechanism to evaluate MaaS easily. The proposed mechanism attaches/detaches existing simulation models and/or mobility services via application programming interfaces (APIs). Moreover, it utilizes independent mechanisms to generate transportation demands and simulate user preferences. Two application scenarios are evaluated qualitatively, indicating that the proposed mechanism can successfully handle various scenarios such as private and small area MaaS and public and middle size area MaaS, and evaluate them from the viewpoints of transportation performance. The mechanism will improve user experience and service quality and enable realization and evaluation of practical MaaS.
引用
收藏
页码:105105 / 105114
页数:10
相关论文
共 23 条
  • [1] Balakirsky S, 2005, 2005 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, P175
  • [2] The vehicle routing problem: State of the art classification and review
    Braekers, Kris
    Ramaekers, Katrien
    Van Nieuwenhuyse, Inneke
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2016, 99 : 300 - 313
  • [3] Casas J, 2010, INT SER OPER RES MAN, V145, P173, DOI 10.1007/978-1-4419-6142-6_5
  • [4] De Vos J., 2023, Transp. Rev., V43, P1
  • [5] Fellendorf M, 2010, INT SER OPER RES MAN, V145, P63, DOI 10.1007/978-1-4419-6142-6_2
  • [6] Estimation of walking patterns in a touristic area with Wi-Fi packet sensors
    Gao, Yuhan
    Schmocker, Jan-Dirk
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2021, 128
  • [7] Google LLC, GTFS Static Overview | Static Transit
  • [8] GTFS-Flex Contributors, GTFS-Flex
  • [9] Horni Andreas, 2016, The multi-agent transport simulation MATSim, P3, DOI [10.5334/baw, DOI 10.5334/BAW]
  • [10] Dynamic adaptive policymaking for implementing Mobility-as-a Service (MaaS)
    Jittrapirom, Peraphan
    Marchau, Vincent
    van der Heijden, Rob
    Meurs, Henk
    [J]. RESEARCH IN TRANSPORTATION BUSINESS AND MANAGEMENT, 2018, 27 : 46 - 55