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Concept of Mobile Application for Mobility as a Service Based on Autonomous Vehicles

Author

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  • Yinying He

    (Department of Transport Technology and Economics (KUKG), Faculty of Transportation Engineering and Vehicle Engineering (KJK), Budapest University of Technology and Economics (BME), 1111 Budapest, Hungary)

  • Csaba Csiszár

    (Department of Transport Technology and Economics (KUKG), Faculty of Transportation Engineering and Vehicle Engineering (KJK), Budapest University of Technology and Economics (BME), 1111 Budapest, Hungary)

Abstract

Mobility as a service (MaaS) is proposed to encourage travelers to choose sustainable mobility options and reduce use of individual car. In the future, mobility services based on autonomous vehicles (AVs) are also incorporated into MaaS. The objective of our work is to elaborate the concept of mobile application, aiding the MaaS based on AVs. We applied a system engineering process-oriented approach to determine the information system components, the functions as well as input and output data. Functions of back-end information system operation and front-end interface of application have been identified, as well as the information flows have been modeled. We highlighted the main differences between MaaS and MaaS based on AVs. We found that recording of event-based points and feedback management are regarded as pivot functions in this self-travel service. Our results facilitate the development of smartphone application for the MaaS based on AVs.

Suggested Citation

  • Yinying He & Csaba Csiszár, 2020. "Concept of Mobile Application for Mobility as a Service Based on Autonomous Vehicles," Sustainability, MDPI, vol. 12(17), pages 1-16, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:6737-:d:401481
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    References listed on IDEAS

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    1. Shen, Yu & Zhang, Hongmou & Zhao, Jinhua, 2018. "Integrating shared autonomous vehicle in public transportation system: A supply-side simulation of the first-mile service in Singapore," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 125-136.
    2. Tian, Li-Jun & Sheu, Jiuh-Biing & Huang, Hai-Jun, 2019. "The morning commute problem with endogenous shared autonomous vehicle penetration and parking space constraint," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 258-278.
    3. Wong, Yale Z. & Hensher, David A. & Mulley, Corinne, 2020. "Mobility as a service (MaaS): Charting a future context," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 5-19.
    4. Khan, Nazmul Arefin & Habib, Muhammad Ahsanul & Jamal, Shaila, 2020. "Effects of smartphone application usage on mobility choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 932-947.
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    1. Panagiotis Georgakis & Adel Almohammad & Efthimios Bothos & Babis Magoutas & Kostantina Arnaoutaki & Gregoris Mentzas, 2020. "Heuristic-Based Journey Planner for Mobility as a Service (MaaS)," Sustainability, MDPI, vol. 12(23), pages 1-25, December.

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