Skip to main content

Vehicle-to-Everything (V2X) Communication Scenarios for Vehicular Ad-hoc Networking (VANET): An Overview

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12956))

Abstract

Nowadays both sciences and technology, including Intelligent Transportation Systems, are involved in improving current approaches. Overview studies give you fast, comprehensive, and easy access to all of the existing approaches in the field. With this inspiration, and the effect of traffic congestion as a challenging issue that affects the regular daily lives of millions of people around the world, in this work, we concentrate on communications paradigms which can be used to address traffic congestion problems. Vehicular Ad-hoc Networking (VANET), a modern networking technology, provides innovative techniques for vehicular traffic control and management. Virtual traffic light (VTL) methods for VANET seek to address traffic issues through using vehicular network communication models. These communication paradigms can be classified into four scenarios: Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) and Vehicle-to-Network (V2N) and Vehicle-to-Pedestrian (V2P). In general, these four scenarios are included in the category of vehicle-to-everything (V2X). Therefore, in this paper, we provide an overview of the most important scenarios of V2X communications based on their characteristics, methodologies, and assessments. We also investigate the applications and challenges of V2X.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Kwatirayo, S., Almhana, J., Liu, Z.: Adaptive traffic light control using VANET: a case study. In: 9th International Wireless Communications and Mobile Computing Conference (IWCMC) on Proceedings, Sardinia, Italy, pp. 752–757. IEEE (2013)

    Google Scholar 

  2. Bouk, S.H., Ahmed, S.H., Kim, D.: Vehicular content centric network (VCCN): a survey and research challenges. In: 30th Annual ACM Symposium on Applied Computing on Proceedings, Salamanca, Spain, pp. 695–700. ACM (2015)

    Google Scholar 

  3. Bouk, S.H., Ahmed, S.H., Kim, D., Song, H.: Named-data-networking-based ITS for smart cities. IEEE Commun. Mag. 55(1), 105–111 (2017)

    Article  Google Scholar 

  4. Ferreira, M., Fernandes, R., Conceição, H., Viriyasitavat, W., Tonguz, O.K.: Self-organized traffic control. In: ACM 7th International Workshop on Vehicular Internetworking on Proceedings, pp. 85–90, Chicago, USA. ACM Digital Library (2010)

    Google Scholar 

  5. Wang, J., Shao, Y., Ge, Y., Yu, R.: A survey of vehicle to everything (v2x) testing. Sensors 19(2), 334 (2019)

    Article  Google Scholar 

  6. Kenney, J.B.: Dedicated short-range communications (DSRC) standards in the United States. Proc. IEEE 99(7), 1162–1182 (2011)

    Article  Google Scholar 

  7. Araniti, G., Campolo, C., Condoluci, M., Iera, A., Molinaro, A.: LTE for vehicular networking: a survey. IEEE Commun. Mag. 51(5), 148–157 (2013)

    Article  Google Scholar 

  8. Toukabri, T., Said, A.M., Abd-Elrahman, E., Afifi, H.: Cellular Vehicular Networks (CVN): ProSe-based ITS in advanced 4G networks. In: IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems (MASS) on Proceedings, Philadelphia, USA, pp. 28–30. IEEE (2014)

    Google Scholar 

  9. Feng, Y., He, D., Niu, L., Yang, M., Guan, Y.: The overview of Chinese cooperative intelligent transportation system; vehicular communication; application layer specification and data exchange standard. In: 2nd International Conference on Information Technology and Intelligent Transportation Systems (ITITS) on Proceedings, Beijing, China, pp. 528–616. Springer (2017)

    Google Scholar 

  10. Hamida, E.B., Noura, H., Znaidi, W.: Security of cooperative intelligent transport systems: standards, threats analysis and cryptographic countermeasures. Electronics 4(3), 380–423 (2015)

    Article  Google Scholar 

  11. Karagiannis, G., Altintas, O., Ekici, E., Heijenk, G., Jarupan, B., Lin, K., Weil, K.: Vehicular networking: a survey and tutorial on requirements, architectures, challenges, standards and solutions. IEEE Commun. Surv. Tutorials 13(4), 584–616 (2011)

    Article  Google Scholar 

  12. Chen, S., Hu, J., Shi, Y., Zhao, L.: LTE-V: a TD-LTE-based V2X solution for future vehicular network. IEEE Internet Things J. 3(6), 997–1005 (2016)

    Article  Google Scholar 

  13. RoselinMary, S., Maheshwari, M., Thamaraiselvan, M.: Early detection of DOS attacks in VANET using Attacked Packet Detection Algorithm (APDA). In: International Conference on Information Communication and Embedded Systems (ICICES) on Proceedings, Chennai, India, pp. 237–240. IEEE (2013)

    Google Scholar 

  14. Mejri, M.N., Ben-Othman, J., Hamdi, M.: Survey on VANET security challenges and possible cryptographic solutions. Veh. Commun. 1(2), 53–66 (2014)

    Google Scholar 

  15. Gross, J., Punyal, O., Pereira, C., Aguiar, A.: Experimental characterization and modeling of RF jamming attacks on VANETs. IEEE Trans. Veh. Technol. 64(2), 524–540 (2015)

    Article  Google Scholar 

  16. Al-Terri, D., Otrok, H., Barada, H., Al-Qutayri, M., Al Hammadi, Y.: Cooperative based tit-for-tat strategies to retaliate against greedy behavior in VANETs. Comput. Commun. 104(15), 108–118 (2017)

    Article  Google Scholar 

  17. Ghosal, A., Conti, M.: Security issues and challenges in V2X: A survey. Comput. Netw. 169, Article 107093 (2020)

    Google Scholar 

  18. Hasrouny, H., Samhat, A.E., Bassil, C., Laouiti, A.: VANet security challenges and solutions: a survey. Veh. Commun. 7(1), 7–20 (2017)

    Google Scholar 

  19. Anaya, J.J., Talavera, E., Jimenez, F., Zato, J.G., Gomez, N., Naranjo, J.E.: GeoNetworking based V2V mesh communications over WSN. In: 16th International IEEE Conference on Intelligent Transportation Systems (ITSC) on Proceedings, The Hague, The Netherlands, pp. 2421–2426. IEEE (2013)

    Google Scholar 

  20. Dong, E., Zhang, L.: Vehicle stability control system of emergency brake on split-mu road. In: 9th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) on Proceedings, Hangzhou, China, pp. 252–255. IEEE (2017)

    Google Scholar 

  21. Tornell, S.M., Patra, S., Calafate, C.T., Cano, J., Manzoni, P.: A novel on-board unit to accelerate the penetration of ITS services. In: 13th IEEE Annual Consumer Communications Networking Conference (CCNC) on Proceedings, Las Vegas, USA, pp. 467–472. IEEE (2016)

    Google Scholar 

  22. Boban, M., d’Orey, P.M.: Exploring the practical limits of cooperative awareness in vehicular communications. IEEE Trans. Veh. Technol. 65(6), 3904–3916 (2016)

    Article  Google Scholar 

  23. Ali, G.G.M.N., Noor-A-Rahim, M., Rahman, M.A., Samantha, S.K., Chong, P.H.J., Guan, Y.L.: Efficient real-time coding-assisted heterogeneous data access in vehicular networks. IEEE Internet Things J. 5(5), 3499–3512 (2018)

    Article  Google Scholar 

  24. Ali, G.G.M.N., Noor-A-Rahim, M., Chong, P.H.J., Guan, Y.L.: Analysis and improvement of reliability through coding for safety message broadcasting in urban vehicular networks. IEEE Trans. Veh. Technol. 67(8), 6774–6787 (2018)

    Article  Google Scholar 

  25. Azimi, S.R., Bhatia, G., Rajkumar, R., Mudalige, P.: Vehicular networks for collision avoidance at intersections. SAE Int. J. Passeng. Cars-Mech. Syst. 4(1), 406–416 (2011)

    Article  Google Scholar 

  26. Sepulcre, M., Gozalvez, J.: Experimental evaluation of cooperative active safety applications based on V2V communications. In: 9th ACM International Workshop on Vehicular Inter-Networking. Systems, and Applications on Proceedings, Low Wood Bay Lake District, UK, pp. 13–20. ACM (2012)

    Google Scholar 

  27. Boban, M., D\(^{\prime }\)Orey P.M.: Measurement-based evaluation of cooperative awareness for V2V and V2I communication. In: IEEE Vehicular Networking Conference (VNC) on Proceedings, Paderborn, Germany pp. 1–8. IEEE (2014)

    Google Scholar 

  28. Bazzi, A., Zanella, A., Masini, B.M.: A distributed virtual traffic light algorithm exploiting short range V2V communications. Ad Hoc Netw. 49(1), 42–57 (2016)

    Article  Google Scholar 

  29. Sepulcre, M., Gozalvez, J., Altintas, O., Kremo, H.: Context-aware heterogeneous V2I communications. In: 7th International Workshop on Reliable Networks Design and Modeling (RNDM) on Proceedings, Munich, Germany, pp. 295–300. IEEE (2015)

    Google Scholar 

  30. Wuthishuwong, C., Traechtler, A., Bruns, T.: Safe trajectory planning for autonomous intersection management by using vehicle to infrastructure communication. EURASIP J. Wirel. Commun. Netw. 2015(1), 1–12 (2015). https://doi.org/10.1186/s13638-015-0243-3

    Article  Google Scholar 

  31. Mohammed, M., Ke, Y., Gao, J., Zhang, H., El-Basyouny, K., Qiu, T.Z: Connected vehicle V2I communication application to enhance driver awareness at signalized intersections. In: 11th International Transportation Specialty Conference (CSCE) on Proceedings, London, UK, pp. 1–12. CSCE (2016)

    Google Scholar 

  32. Gheorghiu, R.A., Minea, M.: Energy-efficient solution for vehicle prioritisation employing ZigBee V2I communications. In: International Conference on Applied and Theoretical Electricity (ICATE) on Proceedings, Craiova, Romania, pp. 1–6. IEEE (2016)

    Google Scholar 

  33. Al-qutwani, M., Wang, X.: Smart traffic lights over vehicular named data networking. Information 10(3), 83 (2019)

    Article  Google Scholar 

  34. He, W., Yan, G., Xu, L.D.: Developing vehicular data cloud services in the IoT environment. IEEE Trans. Indus. Inform. 10(2), 1587–1595 (2014)

    Article  Google Scholar 

  35. Pillmann, J., Sliwa, B., Schmutzler, J., Ide, C., Wietfeld, C.: Car-to-Cloud Communication Traffic Analysis Based on the Common Vehicle Information Model. In: IEEE 85th Vehicular Technology Conference (VTC) on Proceedings, Sydney, Australia, pp. 1–5. IEEE (2017)

    Google Scholar 

  36. Guldenring, J., Wietfeld, C.: Scalability analysis of context-aware multi-RAT Car-to-Cloud communication. In: IEEE 92nd Vehicular Technology Conference (VTC2) on Proceedings, Victoria, Canada, pp. 1–6. IEEE (2020)

    Google Scholar 

  37. Wu, X., et al.: Cars talk to phones: a DSRC based vehicle-pedestrian safety system. In: 80th Vehicular Technology Conference (VTC) on Proceedings, Vancouver, Canada, pp. 14–17. IEEE (2014)

    Google Scholar 

  38. Anaya, J.J., Talavera, E., Giménez, D., Gómez, N., Jiménez, F., Naranjo, J.E.: Vulnerable road users detection using V2X communications. In: 18th International Conference on Intelligent Transportation Systems on Proceedings, Las Palmas, Spain, pp. 107–112. IEEE (2015)

    Google Scholar 

  39. He, S., Li, J., Qiu, T.Z.: Vehicle-to-pedestrian communication modeling and collision avoiding method in connected vehicle environment. Transp. Res. Rec. 2621(1), 21–30 (2017)

    Article  Google Scholar 

  40. Zadeh, R.B., Ghatee, M., Eftekhari, H.R.: Three-phases smartphone-based warning system to protect vulnerable road users under fuzzy conditions. IEEE Trans. Intell. Transp. Syst. 19(7), 2086–2098 (2018)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Eslam Farsimadan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Farsimadan, E., Palmieri, F., Moradi, L., Conte, D., Paternoster, B. (2021). Vehicle-to-Everything (V2X) Communication Scenarios for Vehicular Ad-hoc Networking (VANET): An Overview. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12956. Springer, Cham. https://doi.org/10.1007/978-3-030-87010-2_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-87010-2_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87009-6

  • Online ISBN: 978-3-030-87010-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics