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Research on the Operation Modes of Electric Vehicles in Association with a 5G Real-Time System of Electric Vehicle and Traffic

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  • Weihua Wu

    (Graduate School of Management of Technology, Pukyong National University, Busan 48513, Korea
    School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China
    DaJiang Holding Group Electric Technology Co., Ltd., Xuzhou 221000, China)

  • Yifan Zhang

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Dongphil Chun

    (Graduate School of Management of Technology, Pukyong National University, Busan 48513, Korea)

  • Yu Song

    (Graduate School of Management of Technology, Pukyong National University, Busan 48513, Korea)

  • Lingli Qing

    (Graduate School of Management of Technology, Pukyong National University, Busan 48513, Korea)

  • Ying Chen

    (Graduate School of Management of Technology, Pukyong National University, Busan 48513, Korea)

  • Peng Li

    (Graduate School of Management of Technology, Pukyong National University, Busan 48513, Korea)

Abstract

With the popularity of 5G technology and electric vehicles, many countries around the world have adopted 5G technology to build sustainable smart city systems, and intelligent transportation is an important part of smart cities. From the perspective of 5G technology innovation bringing changes to traditional industries, in this paper, we analyze the mechanism by which 5G technology drives the transformation and upgrading of the electric vehicle industry. Based on the changes brought by 5G technology to the three industries of agriculture, industry and services, we analyzed the transformation of business models brought about by 5G with respect to electric vehicle operation. Furthermore, we analyzed the data of a 5G real-time system of electric vehicle and traffic operating in Nanjing, China, for a month in 2021, with a total of 10,610 electric vehicles and 1,048,575 cases to model the modes of electric vehicle operation associated with the platform. Based on the frequency density method, we identified three typical operating modes of urban electric vehicles: private electric vehicle use instead of walking accounts for 24.8%, passenger vehicles (Uber/Didi and taxi) account for 64.4% and logistic distribution electric vehicles account for 10.8%. We developed a method to automatically identify the operating mode of electric vehicles using data from a 5G real-time electric vehicle traffic platform, which provide a reference for the operation of electric vehicles associated with the platform. This work also provides data that can be used to support the establishment of models for the commercial operation of charging points.

Suggested Citation

  • Weihua Wu & Yifan Zhang & Dongphil Chun & Yu Song & Lingli Qing & Ying Chen & Peng Li, 2022. "Research on the Operation Modes of Electric Vehicles in Association with a 5G Real-Time System of Electric Vehicle and Traffic," Energies, MDPI, vol. 15(12), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:12:p:4316-:d:837514
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    References listed on IDEAS

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    1. Shaheen, Susan PhD & Cohen, Adam, 2020. "Innovative Mobility: Carsharing Outlook Carsharing Market Overview, Analysis, And Trends," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9jh432pm, Institute of Transportation Studies, UC Berkeley.
    2. Shaheen, Susan PhD & Cohen, Adam, 2020. "Innovative Mobility: Carsharing Outlook; Carsharing Market Overview, Analysis, and Trends," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt61q03282, Institute of Transportation Studies, UC Berkeley.
    3. Monios, Jason & Bergqvist, Rickard, 2020. "Logistics and the networked society: A conceptual framework for smart network business models using electric autonomous vehicles (EAVs)," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    4. Strohmaier, R. & Rainer, A., 2016. "Studying general purpose technologies in a multi-sector framework: The case of ICT in Denmark," Structural Change and Economic Dynamics, Elsevier, vol. 36(C), pages 34-49.
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