Abstract
Vehicle-to-everything (V2X) communication allows to realize future and safer road traffic environment. By vehicle onboard sensors and their output data analysis, dangerous road areas can be identified such as icy road section. In their application, V2X communication can exchange them among vehicles instantly without depending on any public wireless networks. This paper introduces a cognitive V2X wireless system which exchanges road surface state information among running vehicles and roadside communication units (RSUs). This approach is based on the combination of multiple standard wireless links which have different characteristics. Our system has two different standards of wireless LAN links to deliver road state information by bulk messaging, and one long-range LPWA link in order to exchange network information and node location before the vehicle moves into wireless LAN range. We designed the V2X communication which is independent from public wireless network in order to provide highly availability in case of disaster, not only road surface information providing in normal time. We have conducted and analyzed an end-to-end communication experiment which set up with in Vehicle-to-Road communication using our prototype environment. The result shows which our system design is capable for delivering actual road state information data within several seconds regardless of physical distance of sensed road section.
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Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles J3016_201806, SAE International (2018)
Casselgren, J., Rosendahl, S., Eliasson, J.: Road surface information system. In: Proceedings of the 16th SIRWEC Conference (2013)
Nakamura, T.: Views of the future pioneered by 5G ― A World Converging the Strengths of Partners ―, NTT Docomo Technical Journal 25th Anniversary, pp. 53–59 (2018)
Su, K., Wu, H., Chang, W., Chou, Y.: Vehicle-to-vehicle communication system through Wi-Fi network using android smartphone. In: Proceedings of 2012 International Conference on Connected Vehicles and Expo, pp. 191–196 (2012)
White, J., et al.: WreckWatch: automatic traffic accident detection and notification with smartphones. J. Mob. Netw. Appl. 16(3), 285–303 (2011)
Qin, Z., Meng, Z., Zhang, X., Xiang, B., Zhang, L.: Performance evaluation of 802.11p WAVE system on embedded board. In: Proceedings of 2014 International Conference on Information Networking, pp. 356–360 (2014)
Sawade, O., Schäufele, B., Radusch, I.: Collaboration over IEEE 802.11p to enable an intelligent traffic light function for emergency vehicles. In: Proceedings of 2016 International Conference on Computing, Networking and Communications, Mobile Computing and Vehicle Communications, pp. 1–5 (2016)
Sukuvaara, T., et al.: Wireless traffic safety network for incident and weather information. In: Proceedings of the First ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, pp. 9–14 (2011)
Begin, T., Busson, A., Lassous, I.G., Boukerche, A.: Video on demand in IEEE 802.11p-based vehicular networks: analysis and dimensioning. In: Proceedings of the 21st ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, pp. 303–310 (2018)
Yuze, H., Nebata, S.: A basic study on emergency communication system for disaster using LPWA. In: Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Application, pp. 501–509 (2019)
Adelantado, F., et al.: Understanding the limits of LoRaWAN. IEEE Commun. Mag. 55(9), 34–40 (2017)
Sakuraba, A., Ito, T., Shibata, Y.: Network performance evaluation to realize N-wavelength V2X cognitive wireless communication system. In: Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Application, pp. 524–536 (2019)
Sakuraba, A., et al.: Evaluation of performance on N-wavelength V2X wireless network in actual road environment. In: Proceedings of 13th International Conference on Complex, Intelligent, and Software Intensive Systems, pp. 555–565 (2019)
Acknowledgments
This research was supported by Strategic Information and Communications R&D Promotion Program (SCOPE) No. 181502003, Ministry of Internal Affairs and Communications, Japan.
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Sakuraba, A., Shibata, Y., Sato, G., Uchida, N. (2020). Evaluation of End-to-End Performance on N-Wavelength V2X Cognitive Wireless System Designed for Exchanging Road State Information. In: Barolli, L., Okada, Y., Amato, F. (eds) Advances in Internet, Data and Web Technologies. EIDWT 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-030-39746-3_30
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DOI: https://doi.org/10.1007/978-3-030-39746-3_30
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