Current state of the art of connected car positioning technology in the 5G era

Research Article
Open access

Current state of the art of connected car positioning technology in the 5G era

Chimei Zhou 1*
  • 1 Sichuan University    
  • *corresponding author 2020141450195@stu.scu.edu.cn
Published on 14 June 2023 | https://doi.org/10.54254/2755-2721/6/20230777
ACE Vol.6
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-915371-59-1
ISBN (Online): 978-1-915371-60-7

Abstract

The Internet of Cars (IoV) has gained popularity in recent years as the number of vehicles on the road keeps increasing. With the development of 5G technology, positioning technology—which is essential to the implementation of IoV—has also started to gain popularity as a research issue. This paper summarises the development and current status of current Telematics positioning technology through the study of the optimization scheme of Telematics positioning technology based on 5G technology. It also clearly shows that the latency of the current Telematics positioning technology has been reduced to a certain extent, and the accuracy has been improved by describing the Telematics, positioning technology and the optimization of the positioning technology from shallow to deep. However, due to practical factors such as site, many technologies have not been further validated and used, and there is still much room for the development of positioning technology. However, with the further development of communication and transmission technologies, the positioning accuracy of Telematics will definitely be improved substantially.

Keywords:

positioning technology, telematics, 5G.

Zhou,C. (2023). Current state of the art of connected car positioning technology in the 5G era. Applied and Computational Engineering,6,1347-1359.
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References

[1]. Gong Yuanjia,Sun Haibo. An overview of vehicle networking systems[J]. China New Communication,2021,23(17):51-52.

[2]. Zheng Xiaopeng, Shi Zhiyong. Communication and positioning technology for Internet of Things vehicles[J]. China New Communication,2016,18(22):22.

[3]. Li Chenxin, Hu Jinling, Zhao Rui, Fang Jiayi. Current status and outlook of vehicle network positioning technology[J]. Mobile Communication,2020,44(11):70-75.

[4]. Xue Jia-Chen, Wu Jian-Feng, Jiao Xi-Kang, Liu Yuan. A joint positioning system based on BDS+5G[J]. Radio Engineering,2022,52(06):1004-1012.

[5]. Wang Xue Lime, Zhai Yuan, Zhu Song. Analysis of the development environment and trend impact of China's Telematics industry[J]. Automotive Industry Research,2021(02):2-7.

[6]. Qian Zhihua. A review of key theories for 5G vehicular connectivity[J]. Information Communication,2018(05):219-220.

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[8]. Hosseini, N. et al. (2019) “UAV command and control, navigation and surveillance: A review of potential 5G and satellite systems,” 2019 IEEE Aerospace Conference [Preprint]. Available at: https://doi.org/10.1109/aero.2019.8741719.

[9]. Wang, S. et al. (2019) “Edge server placement in Mobile Edge Computing,” Journal of Parallel and Distributed Computing, 127, pp. 160–168. Available at: https://doi.org/10.1016/j.jpdc.2018.06.008.

[10]. Wang Yi,Chen Qixin,Zhang Ning,et al. Application analysis and research prospects of integration of 5G communication and the ubiquitous power internet of things[J].Telecom Power Technology,2019,43(5):1575-1585.

[11]. Zhou QP, He W, Jia L, Guo JK, Zhao JG. Research on vehicle networking navigation technology based on BDS and edge computing[J/OL] . Electronic Science and Technology:1- 10[2022-09-05] .DOI:10.16180/j.cnki.issn1007-7820.2023.01.007.

[12]. Mo ZM, Qin YY, Pan T, Lu NH, Lin ZG. GNSS weak positioning scenario combined with field-side vehicle positioning system[J]. Information and Computer (Theory Edition),2021,33(24):30-32.

[13]. Zhou Ziduan, Ji Xu, Wang Jian, Luo De'an. Design and implementation of a singlecalendar RTK/5G cloud-based monitoring system for intelligent transportation vehicle location[J]. Modern Electronics Technology,2022,45(06):14-20.DOI:10.16652/j.issn.1004-373x.2022.06.004.

[14]. Shang L, Li Yichao, Cai Shuo, Li Baogang. IRS-assisted BDS+5G fusion positioning based on IRS[J/OL] . Power System Protection and Control:1-7[2022-09- 08] .DOI:10.19783/j.cnki.pspc.220439.

[15]. Yu Xiaomei, Li Wenjuan, Tan Xiang. Communication mode and application of Telematics based on 5G network[J]. Automotive and New Power,2022,5(03):40- 42.DOI:10.16776/j.cnki.1000-3797.2022.03.024.

[16]. Yang Xuan. Research and development applications of intelligent transportation based on 5G technology[J]. Guangdong Road Traffic,2022,48(03):53-56.DOI:10.19776/j.gdgljt.2022- 03-0053-04.

[17]. Wang Ershen, Shu Wansen, Liu Yuntian, Bu Yuxia, Xu Song, Liu Huichao. Research on optimal processing technology of aviation emergency rescue information based on BDS/5G[J]. Electronic Measurement Technology,2021,44(24):8-13.DOI:10.19651/j.cnki.emt.2107846.

[18]. Liu, Jingnan, Chen, Junyong. Principles and methods of wide-area differential GPS[M] . Beijing: Survey and Mapping Press, 1999.

[19]. Sun Xuan. A review of GNSS positioning principles and errors[J]. China Science and Technology Investment,2020(25):60,63.

[20]. Wang Jian, Zhang Anbing. Principles of satellite positioning and its applications[M] . Beijing: Survey and Mapping Press, 2017.

[21]. Liu Guangyi, Fang Min, Guan Hao, et al. 5G mobile communication: towards a fully connected world[J]. Telecommunications Science, 2019, 35(7): 174.

[22]. Dai W, Li MF, Wu JZ. Research on pseudo-range differential positioning technology of BDS satellite navigation system[J]. Global positioning system,2015,40(2):36-39. Dai Wei,Li Mingfeng,Wu Jizhong.Research on the technology of BDS pseudorange differential positioning[J].GNSS World of China,2015,40(2):36-39.

[23]. Huang, Meiqing, Li, Ning. Evolution to 5G for edge computing based application of internet of vehicles[J]. Telecommunications Science,2019,35(S2):169-175. Huang Meiqing,Li Ning.Application of internet of vehicles based on edge computing evolved to 5G[J]. Science,2019,35(S2):169-175.

[24]. Zhao Hongshan,Tian Tian. Dynamic state estimation for power system based on adaptive traceless Kalman filtering[J]. Power Grid Technology,2014,38(1):188-192. Zhao Hongshan,Tian Tian.Dynamic state estimation for power system based on an adaptive unscented Kalman filter[J]. System Technology,2014,38(1):188-192.

[25]. Mi Junjie, Wang Chao, Xue Yunshan, et al. research on 5G base station synchronization system[J]. Telecommunications Engineering Technology and Standardization, 2020, 33(3):69-72

Cite this article

Zhou,C. (2023). Current state of the art of connected car positioning technology in the 5G era. Applied and Computational Engineering,6,1347-1359.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 3rd International Conference on Signal Processing and Machine Learning

ISBN：978-1-915371-59-1(Print) / 978-1-915371-60-7(Online)
Editor：Omer Burak Istanbullu
Conference website: http://www.confspml.org
Conference date: 25 February 2023
Series: Applied and Computational Engineering
Volume number: Vol.6
ISSN：2755-2721(Print) / 2755-273X(Online)

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References

[1]. Gong Yuanjia,Sun Haibo. An overview of vehicle networking systems[J]. China New Communication,2021,23(17):51-52.

[2]. Zheng Xiaopeng, Shi Zhiyong. Communication and positioning technology for Internet of Things vehicles[J]. China New Communication,2016,18(22):22.

[3]. Li Chenxin, Hu Jinling, Zhao Rui, Fang Jiayi. Current status and outlook of vehicle network positioning technology[J]. Mobile Communication,2020,44(11):70-75.

[4]. Xue Jia-Chen, Wu Jian-Feng, Jiao Xi-Kang, Liu Yuan. A joint positioning system based on BDS+5G[J]. Radio Engineering,2022,52(06):1004-1012.

[5]. Wang Xue Lime, Zhai Yuan, Zhu Song. Analysis of the development environment and trend impact of China's Telematics industry[J]. Automotive Industry Research,2021(02):2-7.

[6]. Qian Zhihua. A review of key theories for 5G vehicular connectivity[J]. Information Communication,2018(05):219-220.

[7]. J. Li, J.T. Zhang, B.Q. Zhang, and B. Shen, “Operation and development of Beidou Navigation Satellite System,” 2015 International Association of Institutes of Navigation World Congress (IAIN), 2015.

[8]. Hosseini, N. et al. (2019) “UAV command and control, navigation and surveillance: A review of potential 5G and satellite systems,” 2019 IEEE Aerospace Conference [Preprint]. Available at: https://doi.org/10.1109/aero.2019.8741719.

[9]. Wang, S. et al. (2019) “Edge server placement in Mobile Edge Computing,” Journal of Parallel and Distributed Computing, 127, pp. 160–168. Available at: https://doi.org/10.1016/j.jpdc.2018.06.008.

[10]. Wang Yi,Chen Qixin,Zhang Ning,et al. Application analysis and research prospects of integration of 5G communication and the ubiquitous power internet of things[J].Telecom Power Technology,2019,43(5):1575-1585.

[11]. Zhou QP, He W, Jia L, Guo JK, Zhao JG. Research on vehicle networking navigation technology based on BDS and edge computing[J/OL] . Electronic Science and Technology:1- 10[2022-09-05] .DOI:10.16180/j.cnki.issn1007-7820.2023.01.007.

[12]. Mo ZM, Qin YY, Pan T, Lu NH, Lin ZG. GNSS weak positioning scenario combined with field-side vehicle positioning system[J]. Information and Computer (Theory Edition),2021,33(24):30-32.

[13]. Zhou Ziduan, Ji Xu, Wang Jian, Luo De'an. Design and implementation of a singlecalendar RTK/5G cloud-based monitoring system for intelligent transportation vehicle location[J]. Modern Electronics Technology,2022,45(06):14-20.DOI:10.16652/j.issn.1004-373x.2022.06.004.

[14]. Shang L, Li Yichao, Cai Shuo, Li Baogang. IRS-assisted BDS+5G fusion positioning based on IRS[J/OL] . Power System Protection and Control:1-7[2022-09- 08] .DOI:10.19783/j.cnki.pspc.220439.

[15]. Yu Xiaomei, Li Wenjuan, Tan Xiang. Communication mode and application of Telematics based on 5G network[J]. Automotive and New Power,2022,5(03):40- 42.DOI:10.16776/j.cnki.1000-3797.2022.03.024.

[16]. Yang Xuan. Research and development applications of intelligent transportation based on 5G technology[J]. Guangdong Road Traffic,2022,48(03):53-56.DOI:10.19776/j.gdgljt.2022- 03-0053-04.

[17]. Wang Ershen, Shu Wansen, Liu Yuntian, Bu Yuxia, Xu Song, Liu Huichao. Research on optimal processing technology of aviation emergency rescue information based on BDS/5G[J]. Electronic Measurement Technology,2021,44(24):8-13.DOI:10.19651/j.cnki.emt.2107846.

[18]. Liu, Jingnan, Chen, Junyong. Principles and methods of wide-area differential GPS[M] . Beijing: Survey and Mapping Press, 1999.

[19]. Sun Xuan. A review of GNSS positioning principles and errors[J]. China Science and Technology Investment,2020(25):60,63.

[20]. Wang Jian, Zhang Anbing. Principles of satellite positioning and its applications[M] . Beijing: Survey and Mapping Press, 2017.

[21]. Liu Guangyi, Fang Min, Guan Hao, et al. 5G mobile communication: towards a fully connected world[J]. Telecommunications Science, 2019, 35(7): 174.

[22]. Dai W, Li MF, Wu JZ. Research on pseudo-range differential positioning technology of BDS satellite navigation system[J]. Global positioning system,2015,40(2):36-39. Dai Wei,Li Mingfeng,Wu Jizhong.Research on the technology of BDS pseudorange differential positioning[J].GNSS World of China,2015,40(2):36-39.

[23]. Huang, Meiqing, Li, Ning. Evolution to 5G for edge computing based application of internet of vehicles[J]. Telecommunications Science,2019,35(S2):169-175. Huang Meiqing,Li Ning.Application of internet of vehicles based on edge computing evolved to 5G[J]. Science,2019,35(S2):169-175.

[24]. Zhao Hongshan,Tian Tian. Dynamic state estimation for power system based on adaptive traceless Kalman filtering[J]. Power Grid Technology,2014,38(1):188-192. Zhao Hongshan,Tian Tian.Dynamic state estimation for power system based on an adaptive unscented Kalman filter[J]. System Technology,2014,38(1):188-192.

[25]. Mi Junjie, Wang Chao, Xue Yunshan, et al. research on 5G base station synchronization system[J]. Telecommunications Engineering Technology and Standardization, 2020, 33(3):69-72

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