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Commercial Vehicle Dynamic Third Party Safety Supervision of Based on GPS/Beidou Technologies

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International Symposium for Intelligent Transportation and Smart City (ITASC) 2019 Proceedings (ITASC 2019)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 127))

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Abstract

Based on GPS/Beidou technologies, dynamic safety supervision of commercial operating vehicles has played an important role in transportation industry safety. From the serious traffic accidents occurred in recent years, the major reasons were the improper safety supervision of vehicles. The traditional dynamic safety supervision mode and applications are insufficient. To make up for the lack of traditional dynamic supervision and realize the traceability and visualization of the supervision process, it is necessary to innovate the road transportation safety monitoring, with new management concepts and technologies. Based on the practical understanding of the traditional monitoring status of the industry, this paper proposes the third-party safety supervision of commercial vehicles. We successfully incorporate the application of third parties in other fields world widely and combine it with the development of vehicle dynamic monitoring technology. Through the innovative application of empirical applications in certain areas, the government bureau, enterprises, and monitoring operators all recognized the new model. The overall safety level indicators and accident data before and after the application are compared and analyzed. The results indicate that the new model has largely improved the safety level of transportation within the region. At the same time, it has broadened the scale of supervision, practically reducing the corporate costs and operating investment. The new model greatly improves the dynamic security monitoring effect, which satisfies all parties’ demands without increasing the input. At present, this model has been promoted and applied in Xinjiang Uygur Autonomous Region, which was proved to have important social and economic significance for modern transportation industries.

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Acknowledgments

The authors are thankful to the Shanxi Bei’an Fire Protection Technology Co., Ltd. for providing the necessary data and information in this study. The research was sponsored in part by the Shanxi Key R&D Program (High-Tech) Projects (No. RCS2018K010), Science & Technology Department, Shanxi Province, the Humanities, and Social Science Research Project (No. 18YJCZH011), Ministry of Education, China, and the Shanghai Municipal Natural Science Foundation (No. 17ZR1445500). Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the sponsors.

Author information

Authors and Affiliations

  1. Center for ITS and UAV Application Research Center, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

    Guangyue Nian & Daniel(Jian) Sun

  2. Beidou Information Institute of Technology, Shanxi Beidou Weixun Electronic Technology Co., Ltd., Taiyuan, 030009, China

    Jinping Li

  3. State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

    Daniel(Jian) Sun

  4. Chongqing Institute of Intelligent Transportation System and Technology, Chongqing Mingxin Changxing Technology Co., Ltd., Chongqing, 400020, China

    Xinhan Li

Authors
  1. Guangyue Nian
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  2. Jinping Li
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  3. Daniel(Jian) Sun
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  4. Xinhan Li
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Corresponding author

Correspondence to Jinping Li .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, Shanghai, China

    Xiaoqing Zeng

  2. Department of Geotechnical Engineering, Tongji University , Shanghai, Shanghai, China

    Xiongyao Xie

  3. Shanghai Jiao Tong University , Shanghai, Shanghai, China

    Jian Sun

  4. School of Environmental Science and Engineering, Tongji University , Shanghai, Shanghai, China

    Limin Ma

  5. School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA

    Yinong Chen

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Nian, G., Li, J., Sun, D., Li, X. (2019). Commercial Vehicle Dynamic Third Party Safety Supervision of Based on GPS/Beidou Technologies. In: Zeng, X., Xie, X., Sun, J., Ma, L., Chen, Y. (eds) International Symposium for Intelligent Transportation and Smart City (ITASC) 2019 Proceedings. ITASC 2019. Smart Innovation, Systems and Technologies, vol 127. Springer, Singapore. https://doi.org/10.1007/978-981-13-7542-2_25

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  • DOI: https://doi.org/10.1007/978-981-13-7542-2_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7541-5

  • Online ISBN: 978-981-13-7542-2

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