Skip to main content
Log in

Performance Metrics for Positioning Terminals Based on a GNSS in Autonomous Vehicle Networks

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In autonomous vehicles networks, information is transferred through vehicle-to-vehicle and vehicle-to-infrastructure communication channels. We have added a new communication type V2IoT, which is used to communicate with internet of things devices (V2IoT) over a fifth-generation wireless system. For efficient communication, delays should be kept to a minimum and below the threshold. Increased delays may affect the performance metrics of a positioning terminal, which are characterized in terms of availability, accuracy, and integrity. Furthermore, simulation results show that scattering, reflection, and absorption weaken the signals received by vehicles or obliterate them entirely. Many untargeted transmitted signals can even interfere with other transmitted signals. This paper discusses the performance metrics for positioning terminals and proposes a new scheme based on an intelligent vehicle agent, which can reduce traffic congestion by performing seamless handoff between road sections.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Dey, D. C., Rayamajhi, A., Chowdhury, M., Bhavsar, P., & Martin, J. (2016). Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication in a heterogeneous wireless network–Performance evaluation. Transportation Research Part C, 68, 168–184.

    Article  Google Scholar 

  2. Eckelmann, S., Trautmann, T., Ußler, H., Reichelt, B., & Michler, O. (2017). V2V-communication, LiDAR system and positioning sensors for future fusion algorithm in connected vehicles. Transportation Research Procedia, 27, 69–76.

    Article  Google Scholar 

  3. Groves, P. D. (2011). Shadow matching: A new GNSS positioning technique for urban canyons. The Journal of Navigation, 64, 417–430.

    Article  Google Scholar 

  4. Hong, W., Choi, K., Lee, E., Im, S., & Heo, M. (2014). Analysis of GNSS performance index using feature points of sky-view image. IEEE Transactions on Intelligent Transport Systems, 15(2), 889–895.

    Article  Google Scholar 

  5. Jiang, L., Xi, W., & Bai-gen, C. (2015). An improved GNSS receiver autonomous integrity monitoring method using vehicle-to-vehicle communication (pp. 249–260). Cham: Springer.

    Google Scholar 

  6. Katrakazas, C., Quddus, M., Chen, W.-H., & Deka, L. (2015). Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions. Transportation Research Part C, 60, 416–442.

    Article  Google Scholar 

  7. Kim, J., Lee, J., Moon, S., & Hwang, I. (2018). A position-based resource allocation scheme for V2V communication. Wireless Personal Communications, 98, 1569–1586.

    Article  Google Scholar 

  8. Nardini, G., Virdis, A., Campolo, C., Molinaro, A., & Stea, G. (2018). Cellular-V2X communications for platooning: Design and evaluation. Sensors, 18, 6–22.

    Google Scholar 

  9. Raiyn, J. (2017). Developing vehicle locations strategy on urban road. Transport and Telecommunication, 18(4), 253–262.

    Article  Google Scholar 

  10. Raiyn, J. (2019). An evaluation of cooperative communication in cognitive radio as applied to autonomous vehicles. Advances in intelligent networking and collaborative systems (Vol. 23, pp. 116–123). Cham: Springer.

    Google Scholar 

  11. Seth, A., Gupta, H. M., & Momaya, K. (2007). Quality of service parameters in cellular mobile communication. International Journal of Mobile Communications, 5(1), 65–93.

    Article  Google Scholar 

  12. Sybis, M., Kryszkiewicz, P., & Sroka, P. (2018). On the context-aware, dynamic spectrum access for robust intraplatoon communications. Mobile Information Systems, 2, 1–16.

    Article  Google Scholar 

  13. Tao, J., Chen, H.-H., Wu, H.-C., & Yi, Y. (2010). Channel modeling and inter-carrier interference analysis for V2V communication systems in frequency-dispersive channels. Mobile Networks and Applications, 15, 4–12.

    Article  Google Scholar 

  14. Zardosht, B., Beauchemin, S. S., & Bauer, M. A. (2017). A predictive accident-duration based decision-making module for rerouting in environments with V2V communication. Journal of Traffic and Transportation Engineering (English Edition), 4(6), 535–544.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jamal Raiyn.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Raiyn, J. Performance Metrics for Positioning Terminals Based on a GNSS in Autonomous Vehicle Networks. Wireless Pers Commun 114, 1519–1532 (2020). https://doi.org/10.1007/s11277-020-07436-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-020-07436-6

Keywords

Navigation