Development and Testing of 5G Connected and Autonomous Shuttle
Keywords:
autonomous vehicle, 5G connected autonomous shuttle, use caseAbstract
This research was aimed at developing an automatic passenger transport vehicle driving system that could drive itself in certain situations (Level 3 automation) and testing the communication between the autonomous vehicle and external environment using 5G-V2X technology. The use cases on operation related to road safety were also tested. Employing the experimental research method, it was found that the NDT method for vehicle localization was accurate. The automatic driving system could collect data on position, speed, and acceleration, both in autonomous mode and manual mode. Localization on high-resolution maps was accurate, and both high- and low-level vehicle operation control systems were safe. The test results on the communication between autonomous vehicle and external environment in the C-V2X format through 5G network based on three main parameters: data transmission rate, latency, and data loss rate; found that the communication through 5G network was efficient enough for the project’s use case. The five safety modules including drowsiness detection module, passenger counting module, multi-source real-time video streaming module, accident alert module, and web application and dashboard for monitoring, were tested, by applying AI in data analysis, and found efficient.
References
GPP. (2022, April 1). 3GPP Specification series: 38series (TS 38.215 V16.5.0). https://portal.3gpp.org/desktopmodules/Specifications/SpecificationDetails.aspx?specificationId=3217 5G Automotive Association (5GAA). (2019).
G Automotive Association, Pioneering Digital Transformation in the Automotive Industry. https://5g-ppp.eu/wp-content/uploads/2019/01/2.-5GAA-FLAMENT-5G-vertical-WS_120219.pdf
Hsu, Y.- W., Chen, Y. -W., & Perng, J. -W. (2020). Estimation of the Number of Passengers in a Bus Using Deep Learning. Sensors, 20(8), 2178. https://doi.org/10.3390/s20082178
Jung, C., Lee, D., Lee, S., & Shim, D. H. (2020). V2X-Communication-Aided Autonomous Driving: System Design and Experimental Validation. Sensors (Basel, Switzerland), 20(10), 2903. https://doi.org/10.3390/s20102903
Stork, C. R., & Duarte-Figueiredo, F. (2020). A Survey of 5G Technology Evolution, Standards, and Infrastructure Associated with Vehicle-to-Everything Communications by Internet of Vehicles. IEEE Access, 8, 117593-117614. https://doi.org/ 10.1109/ACCESS.2020.3004779
Trevor, M. (2017, January 23). Driverless buses arrive in Paris. Digital Trends. https://www.digitaltrends.com/cars/paris-driverless-buses/
University of Michigan. (2020). Connected and Automated Research. https://www.umtri.umich.edu/research/expertise/connected-and-automated-research-excellence-at-umtri/
World Health Organization (WHO). (2018). Global Status Report on Road Safety 2018. https://www.who.int/publications/i/item/9789241565684
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