Proposition of Augmenting V2X Roadside Unit to Enhance Cooperative Awareness of Heterogeneously Connected Road Users

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Intelligent Autonomous Systems 18 (IAS 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 795))

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Abstract

Intelligent transportation and autonomous mobility solutions rely on cooperative awareness developed by exchanging proximity and mobility data among road users. To maintain pervasive awareness on roads, all vehicles and vulnerable road users must be identified, either cooperatively, where road users equipped with wireless capabilities of Vehicle-to-Everything (V2X) radios can communicate with one another, or passively, where users without V2X capabilities are detected by means other than V2X communications. This necessitates the establishment of a communications channel among all V2X-enabled road users, regardless of whether their underlying V2X technology is compatible or not. At the same time, for cooperative awareness to realize its full potential, non-V2X-enabled road users must also be communicated with where possible or, leastwise, be identified passively. However, the question is whether current V2X technologies can provide such a welcoming heterogeneous road environment for all parties, including varying V2X-enabled and non-V2X-enabled road users? This paper investigates the roles of a propositional concept named Augmenting V2X Roadside Unit (A-RSU) in enabling heterogeneous vehicular networks to support and benefit from pervasive cooperative awareness. To this end, this paper explores the efficacy of A-RSU in establishing pervasive cooperative awareness and investigates the capabilities of the available communication networks using secondary data. The primary findings suggest that A-RSU is a viable solution for accommodating all types of road users regardless of their V2X capabilities.

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References

  1. Ansari, K.: Joint use of DSRC and C-V2X for V2X communications in the 5.9 GHz ITS band. IET Intell. Transp. Syst. 15(2), 213–224 (2021)

    Google Scholar 

  2. Naik, G., Choudhury, B., Park, J.M.: IEEE 802.11bd & 5G NR V2X: evolution of radio access technologies for V2X communications. IEEE Access (7) (2019)

    Google Scholar 

  3. Cavalcanti, D., et al.: Issues in integrating cellular networks WLANs, AND MANETs: a futuristic heterogeneous wireless network. IEEE Wirel. Commun. 12(3) (2005)

    Google Scholar 

  4. King, H., Nolan, K., Kelly, M.: Interoperability between DSRC and LTE for VANETs. In: 2018 IEEE 13th International Symposium on Industrial Embedded Systems

    Google Scholar 

  5. Almeida, E., et al.: Enabling LTE/WiFi coexistence by LTE blank subframe allocation. In: 2013 IEEE International Conference on Communications (ICC)

    Google Scholar 

  6. Kaur, H., Malhotra, J.: Coexistence issues and challenges amongst cellular, WiFi and WiMAX networks. In: 2014 International Conference on Advances in Engineering & Technology Research (ICAETR-2014)

    Google Scholar 

  7. Sagari, S., Seskar, I., Raychaudhuri, D.: Modeling the coexistence of LTE and WiFi heterogeneous networks in dense deployment scenarios. In: 2015 IEEE International Conference on Communication Workshop (ICCW)

    Google Scholar 

  8. Kitazato, T., et al.: Proxy cooperative awareness message: an infrastructure-assisted V2V messaging. In: 2016 Ninth International Conference on Mobile Computing and Ubiquitous Networking (ICMU)

    Google Scholar 

  9. Shan, M., et al.: Demonstrations of cooperative perception: safety and robustness in connected and automated vehicle operations. Sensors 21(1) (2021)

    Google Scholar 

  10. Tsukada, M., et al.: AutoC2X: open-source software to realize V2X cooperative perception among autonomous vehicles. In: 2020 IEEE 92nd Vehicular Technology Conference

    Google Scholar 

  11. Tsukada, M., et al.: Networked roadside perception units for autonomous driving. Sensors 20(18) (2020)

    Google Scholar 

  12. Smart Intersection [cited 2021 6 Dec]. Available from: https://tti.tamu.edu/facilities/smart-intersection/

  13. Lynch, J.: $9.95M for ‘smart intersections’ across Ann Arbor (2021). Available from: https://record.umich.edu/articles/9-95m-for-smart-intersections-across-ann-arbor/

  14. Sivaraman, S., Trivedi, M.M.: Looking at vehicles on the road: a survey of vision- based vehicle detection, tracking, and behavior analysis. IEEE Trans. Intell. Transp. Syst. 14(4) (2013)

    Google Scholar 

  15. Ansari, K., et al.: Requirements and complexity analysis of cross-layer design optimization for adaptive inter-vehicle DSRC. In: Mobile, Secure, and Programmable Networking. Springer International Publishing, Cham (2017)

    Google Scholar 

  16. Ansari, K.: Cloud computing on cooperative cars (C4S): an architecture to support navigation-as-a-service. In: 2018 IEEE 11th International Conference on Cloud Computing (CLOUD) (2018)

    Google Scholar 

  17. SAE: J3224 V2X Sensor-Sharing for Cooperative & Automated Driving. SAE International (2022)

    Google Scholar 

  18. Li, H., Nashashibi, F.: Multi-vehicle cooperative perception and augmented reality for driver assistance: a possibility to ‘see’ through front vehicle. In: 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) (2011)

    Google Scholar 

  19. Kumar, S., et al.: CarSpeak: a content-centric network for autonomous driving. SIGCOMM Comput. Commun. Rev. 42(4), 259–270 (2012)

    Article  Google Scholar 

  20. Kim, S.W., et al.: Cooperative perception for autonomous vehicle control on the road: motivation and experimental results. In: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems

    Google Scholar 

  21. Kim, S., et al.: Multivehicle cooperative driving using cooperative perception: design and experimental validation. IEEE Trans. Intell. Transp. Syst. 16(2) (2015)

    Google Scholar 

  22. Shan, M., Worrall, S., Nebot, E.: Nonparametric cooperative tracking in mobile ad-hoc networks. In: 2014 IEEE International Conference on Robotics and Automation

    Google Scholar 

  23. SAE: J2945/1 On-Board System Requirements for V2V Safety Communications (revised). SAE International (2020)

    Google Scholar 

  24. Nikodem, M., et al.: Multi-camera vehicle tracking using edge computing and low-power communication. Sensors 20(11), 3334 (2020)

    Google Scholar 

  25. Ansari, K., Wang, C., Feng, Y.: Exploring dependencies of 5.9 GHz DSRC throughput and reliability on safety applications. In: Proceedings of the 10th IEEE Vehicular Technology Society Asia Pacific Wireless Communications Symposium. IEEE (2013)

    Google Scholar 

  26. Ansari, K.: Cooperative position prediction: beyond vehicle-to-vehicle relative positioning. IEEE Trans. Intell. Transp. Syst. 21(3) (2020)

    Google Scholar 

  27. Xu, Z., et al.: DSRC versus 4G-LTE for connected vehicle applications: a study on field experiments of vehicular communication performance. J. Adv. Transp. 2017 (2017)

    Google Scholar 

  28. Sonklin, K.: Studies of communication and positioning performance of connected vehicles for safety applications. Queensland University of Technology (2020)

    Google Scholar 

  29. Fan, Y., et al.: Network performance test and analysis of LTE-V2X in industrial park scenario. Wirel. Commun. Mobile Comput. 2020, 1–12 (2020)

    Google Scholar 

  30. Shimizu, T., et al.: Comparison of DSRC and LTE-V2X PC5 mode 4 performance in high vehicle density scenarios. In: 26th ITS World Congress (2019)

    Google Scholar 

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Correspondence to Keyvan Ansari .

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Ansari, K., Hasan, K.F. (2024). Proposition of Augmenting V2X Roadside Unit to Enhance Cooperative Awareness of Heterogeneously Connected Road Users. In: Lee, SG., An, J., Chong, N.Y., Strand, M., Kim, J.H. (eds) Intelligent Autonomous Systems 18. IAS 2023. Lecture Notes in Networks and Systems, vol 795. Springer, Cham. https://doi.org/10.1007/978-3-031-44851-5_1

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