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An Automotive Cooperative Collision Avoidance Service Based on Mobile Edge Computing

  • A. García Olmos
  • F. Vázquez-Gallego
  • R. SedarEmail author
  • V. Samoladas
  • F. Mira
  • J. Alonso-Zarate
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11803)

Abstract

Even before 5G is rolled out, Mobile Edge Computing (MEC) can be considered as a key driver towards the deployment of vehicular use cases, which pose stringent latency and bandwidth requirements to the underlying Vehicle-to-Everything (V2X) communication infrastructure. In this paper, we present a MEC-enabled cooperative Collision AVoidance (CAV) service designed to anticipate the detection and localization of road hazards by extending vehicles’ perception range beyond the capabilities of their own sensors. The CAV service is a software application that runs on MEC servers allocated at the roadside and at Mobile Network Operators’ (MNO) infrastructures. The CAV service receives ETSI ITS-G5 standard-compliant messages transmitted by vehicles: periodic Cooperative Awareness Messages (CAM), which include the position, velocity and direction of the vehicle; and event-triggered Decentralized Environmental Notification Messages (DENM), which include the position of detected road hazards. The CAV service creates a distributed dynamic map using all the received information, and sends unicast messages to each vehicle with the relevant information within its collision risk area. We have implemented and validated the operation of the CAV service using vehicles’ On-Board Units (OBU) based on OpenC2X, an open-source experimental platform supporting the ETSI ITS-G5 standard.

Keywords

V2X MEC Collision Avoidance OpenC2X 

Notes

Acknowledgment

This work is part of 5GCroCo project that has received funding from the European Union H2020 Research and Innovation Programme under grant agreement No. 825050. It has also been partially funded by SPOT5G (TEC2017-87456-P) and by Generalitat de Catalunya under Grant 2017 SGR 891.

References

  1. 1.
    Shah, S.A.A., et al.: 5G for vehicular communications. IEEE Commun. Mag. 56, 111–117 (2018)CrossRefGoogle Scholar
  2. 2.
    Li, L., et al.: A novel mobile edge computing-based architecture for future cellular vehicular networks. In: IEEE WCNC, pp. 1–6, March 2017Google Scholar
  3. 3.
    Vázquez-Gallego, F., et al.: Demo: a MEC-based collision avoidance system for future vehicular networks. In: CNERT INFOCOM Workshop, April 2019Google Scholar
  4. 4.
    Wevers, K., et al.: V2X communication for ITS - from IEEE 802.11p towards 5G, June 2017. https://futurenetworks.ieee.org/tech-focus/march-2017/v2x-communication-for-its
  5. 5.
    Task Group p: IEEE P802.11p: Wireless Access in Vehicular Environments (WAVE). draft standard ed. (2006)Google Scholar
  6. 6.
    Klingler, F., et al.: Field testing vehicular networks using OpenC2X. In: 15th ACM International Conference on Mobile Systems, pp. 178–178, June 2017Google Scholar
  7. 7.
    5GAA: Toward fully connected vehicles: edge computing for advanced automotive communications. White Paper (2017)Google Scholar
  8. 8.
    Reznik, A., et al.: Developing software for multi-access edge computing. ETSI White Paper, September 2017Google Scholar
  9. 9.
    Emara, M., et al.: MEC-assisted end-to-end latency evaluations for C-V2X communications, pp. 1–9. IEEE (2018)Google Scholar
  10. 10.
    Datta, S.K., et al.: Vehicles as connected resources: opportunities and challenges for the future. IEEE Veh. Technol. Mag. 12, 26–35 (2017)CrossRefGoogle Scholar
  11. 11.
    Li, L., Li, Y., Hou, R.: A novel mobile edge computing-based architecture for future cellular vehicular networks. In: 2017 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1–6, March 2017Google Scholar
  12. 12.
    Car2MEC Project, September 2018. https://www.nokia.com/about-us/news/
  13. 13.
    Press release: Comba Telecom and ASTRI demonstrate Mobile Edge Computing system (MEC) with Vehicle-to-Everything (V2X) system prototype at Mobile World Congress 2017 in BarcelonaGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • A. García Olmos
    • 1
  • F. Vázquez-Gallego
    • 1
  • R. Sedar
    • 1
    Email author
  • V. Samoladas
    • 1
  • F. Mira
    • 1
  • J. Alonso-Zarate
    • 1
  1. 1.Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA)CastelldefelsSpain

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