# A survey on road safety and traffic efficiency vehicular applications based on C-V2X technologies

arXiv: https://arxiv.org/abs/2403.17851 · HTML: https://mlsanity.com/paper/2403.17851/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Mar 2024.

## Built on by (most cited first, 4 of 4)

- [Low-Latency Relay Selection in NR-V2X Vehicular Communications via Graph Isomorphism Networks with Edge Features](https://mlsanity.com/paper/2607.14176/) (2026)
- [AI-Driven Multi-Hop Relay Selection for Smart Urban NR-V2X Networks via Learning-to-Optimize Graph Neural Networks](https://mlsanity.com/paper/2607.20554/) (2026)
- [CADET: A Modular Platform for Evaluating Distributed Cooperative Autonomy in Connected Autonomous Vehicles](https://mlsanity.com/paper/2606.04072/) (2026)
- [Simulating Cognitive Smart Freight Corridors with Agent-Based Models and Reinforcement Learning](https://mlsanity.com/paper/2608.25193/) (2026)

## Abstract (arXiv)

In recent years, the use of cellular network technologies to provide communication-based applications to vehicles has received considerable attention. 3GPP, the standardization body responsible for cellular networks specifications, is developing technologies to meet the requirements of vehicular communication applications, and the research community is testing and validating the ability of those technologies to implement different applications. This survey presents the body of work dealing with the use of cellular technologies to implement communication-based applications for the connected vehicle. We focus on basic and advanced road safety and traffic efficiency applications, which are critically important for the future of vehicular networks. We start by describing the different cellular-related technologies that have a role to play in providing services to the connected vehicle, propose a classification of types of communication used in vehicular applications, and then apply this classification to organize and present recent research work on the topic. Finally, we identify the main challenges in the use of cellular technologies to develop applications for the connected vehicle.