LAPSE:2023.12465
Published Article

LAPSE:2023.12465
Research on the Operation Modes of Electric Vehicles in Association with a 5G Real-Time System of Electric Vehicle and Traffic
February 28, 2023
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.
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.
Record ID
Keywords
5G technology, 5gRTS-ET, EV operation mode
Subject
Suggested Citation
Wu W, Zhang Y, Chun D, Song Y, Qing L, Chen Y, Li P. Research on the Operation Modes of Electric Vehicles in Association with a 5G Real-Time System of Electric Vehicle and Traffic. (2023). LAPSE:2023.12465
Author Affiliations
Wu W: 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
Zhang Y: School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China
Chun D: Graduate School of Management of Technology, Pukyong National University, Busan 48513, Korea
Song Y: Graduate School of Management of Technology, Pukyong National University, Busan 48513, Korea
Qing L: Graduate School of Management of Technology, Pukyong National University, Busan 48513, Korea [ORCID]
Chen Y: Graduate School of Management of Technology, Pukyong National University, Busan 48513, Korea
Li P: Graduate School of Management of Technology, Pukyong National University, Busan 48513, Korea
Zhang Y: School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China
Chun D: Graduate School of Management of Technology, Pukyong National University, Busan 48513, Korea
Song Y: Graduate School of Management of Technology, Pukyong National University, Busan 48513, Korea
Qing L: Graduate School of Management of Technology, Pukyong National University, Busan 48513, Korea [ORCID]
Chen Y: Graduate School of Management of Technology, Pukyong National University, Busan 48513, Korea
Li P: Graduate School of Management of Technology, Pukyong National University, Busan 48513, Korea
Journal Name
Energies
Volume
15
Issue
12
First Page
4316
Year
2022
Publication Date
2022-06-13
ISSN
1996-1073
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PII: en15124316, Publication Type: Journal Article
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LAPSE:2023.12465
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https://doi.org/10.3390/en15124316
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