Enhancing Road Safety and Network Intelligence through Vehicleto-Everything (V2X) Communication: Architectures, Models, and Performance Analysis

Authors

  • Qutaiba Ibrahim Ali *

    Computer Engineering Department, College of Engineering, University of Mosul, Mosul 41002, Iraq

  • Hussein M. Mohammed

    Computer Engineering Department, College of Engineering, University of Mosul, Mosul 41002, Iraq

DOI:

https://doi.org/10.55121/tdr.v3i1.426

Keywords:

Connected Vehicles, V2V, 5G Communications, V2X, Latency and Throughput Modeling

Abstract

Vehicle-to-Everything (V2X) communication is a transformative and rapidly advancing paradigm that enables real-time, bidirectional data exchange between vehicles, infrastructure, pedestrians, and broader network systems using wireless technologies. As urban mobility becomes more complex and traffic congestion, collision rates, and demand for safer and more efficient transportation rise, V2X emerges as a key enabler of smart mobility and autonomous driving. By integrating various modes of communication—including Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), Vehicle-to-Network (V2N), and Vehicle-to-Pedestrian (V2P)—V2X provides a unified platform for situational awareness and proactive decision-making. This paper offers a comprehensive survey of V2X communication modes, detailing their architectures, use cases, and deployment challenges. Each communication mode plays a distinct role in enhancing traffic flow, improving road safety, and reducing the burden on human drivers. Moreover, the study introduces mathematical models designed to evaluate crucial performance metrics such as latency, packet delivery ratio (PDR), and network throughput under varying conditions, including traffic density, node mobility, and infrastructure placement. The simulation results underscore the impact of relay node positioning, Road Side Unit (RSU) density, and packet size on the efficiency and reliability of V2X networks. The concluding section highlights the need for dependable and scalable V2X infrastructure and advocates for the integration of intelligent routing algorithms, adaptive communication strategies, and context-aware systems. These advancements are vital to achieving robust, future-proof smart transportation networks that can adapt to evolving technological and societal demands.

References

[1] Shi, Y., Peng, X.H., Bai, G., 2018. Efficient V2X Data Dissemination in Cluster-Based Vehicular Networks. Proceedings of the 17th International Conference on Advances in Vehicular Systems, Technologies and Applications (VEHICULAR 2018); 24–28 June 2018; Venice, Italy. pp. 1–6.

[2] Wikipedia, 2025. Vehicle-to-everything. Available from: https://en.wikipedia.org/wiki/Vehicle-to-everything (cited 15-1-2025).

[3] Molinaro, A., Campolo, C., 2018. 5G for V2X Communications. 5G Italy White eBook: from Research to Market. In: Marsan, M.A., Melazzi, N.B., Buzzi, S. (eds.). Consorzio Nazionale Interuniversitario per le TelecomunicazioniViale: Parma (PR), Italy. pp. 209–236.

[4] U.S. Department of Transportation, 2015. Driving a Safer Tomorrow: Vehicle-to-Vehicle Communications and Connected Roadways of the Future. Available from: https://www.transportation.gov/testimony/driving-safer-tomorrow-vehicle-vehicle-communications-and-connected-roadways-future (cited 15-1-2025).

[5] ETSI TS 122 185. 2018. Service requirements for V2X services. Release 15.

[6] ITU-R M.2084-0. 2015. Radio Interface Standards of Vehicle-to-Vehicle and Vehicle-to-Infrastructure Communications for Intelligent Transport System Applications.

[7] 3GPP TS 23.285. 2018. Architecture enhancements for V2X services. Release 15.

[8] CSAE T/CSAE 0053-2017. 2017. Cooperative Intelligent Transportation System, Vehicular Communication, Application Layer Specification and Data Exchange Standard. CSAE: Beijing, China.

[9] Wang, J., Shao, Y., Ge, Y., et al., 2019. A Survey of Vehicle to Everything (V2X) Testing. Sensors. 19(2), 334.

[10] Ali, Q.I., 2014. Design, implementation & optimization of an energy harvesting system for VANETs' road side units (RSU). IET Intelligent Transport Systems. 8(3), 298–307.

[11] Ali, Q.I., 2008. An efficient simulation methodology of networked industrial devices. Proceedings of 5th International Multi-Conference on Systems, Signals and Devices; 20–22 July 2008; Amman, Jordan. pp. 1–6.

[12] Ali, Q.I., 2015. Security issues of solar energy harvesting road side unit (RSU). Iraqi Journal for Electrical & Electronic Engineering. 11(1), 18. DOI: https://doi.org/10.33762/eeej.2015.102711

[13] Ali, Q.I., 2016. Securing solar energy-harvesting road-side unit using an embedded cooperative-hybrid intrusion detection system. IET Information Security. 10(6), 386–402.

[14] Ali, Q.I., 2011. Design & Implementation of High-Speed Network Devices Using SRL16 Reconfigurable Content Addressable Memory (RCAM). International Arab Journal of e-Technology. 2(2), 72–81.

[15] Alhabib, M.H., Ali, Q.I., 2023. Internet of autonomous vehicles communication infrastructure: a short review. Diagnostyka. 24(3). DOI: https://doi.org/10.29354/diag/168310

[16] Ali, Q.I., 2022. Realization of a robust fog-based green VANET infrastructure. IEEE Systems Journal. 17(2), 2465–2476.

[17] Ali, Q.I., Jalal, J.K., 2014. Practical design of solar-powered IEEE 802.11 backhaul wireless repeater. Proceedings of the 6th International Conference on Multimedia, Computer Graphics and Broadcasting; 20–23 December 2014; Hainan, China. pp. 9–12.

[18] Lu, N., Cheng, N., Zhang, N., et al., 2014. Connected Vehicles: Solutions and Challenges. IEEE Internet of Things Journal. 1(4), 289–299.

[19] Tsai, H.M., Viriyasitavat, W., Tonguz, O.K., et al., 2007. Feasibility of in-car wireless sensor networks: A statistical evaluation. Proceedings of the 2007 4th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks; 18–21 June 2007; San Diego, CA, USA. pp. 101–111.

[20] Eisenlohr, F.S., 2010. Interference in Vehicle-to-Vehicle Communication Networks Analysis, Modeling, Simulation and Assessment. KIT Scientific Publishing: Karlsruhe, Germany.

[21] Vanderveen, M., Shukla, K., 2018. Cellular V2X Communications Towards 5G. 5G Americas: Washington, DC, USA.

[22] Kawser, M.T., Fahad, M.S., Ahmed, S., et al., 2019. The Perspective of Vehicle-to-Everything (V2X) Communication towards 5G. International Journal of Computer Science and Network Security. 19(4), 146.

[23] Dahlman, E., Parkvall, S., Sköld, J., 2016. 4G LTE - Advanced Pro and The Road to 5G. Academic Press: New York, NY, USA. pp. 461–486.

[24] Amadeo, M., Campolo, C., Molinaro, A., et al., 2019. Enhancing the 3GPP V2X Architecture with Information-Centric Networking. Future Internet. 11(9), 199.

[25] Liu, Z., Liu, Z., Meng, Z., et al., 2016. Implementation and performance measurement of a V2X communication system for vehicle and pedestrian safety. International Journal of Distributed Sensor Networks. 12(9), 1550147716671267.

[26] Harding, J., Powell, G.R., Yoon, R., et al., 2014. Vehicle-to-Vehicle Communications: Readiness of V2V Technology for Application. National Highway Traffic Safety Administration: Washington, DC, USA.

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