V2X communication coverage analysis for connected vehicles in intelligent transportation networks: A case study for the city of Xanthi, Greece

TL;DR

This study evaluates V2X communication coverage in Xanthi, Greece, using simulations to determine optimal RSU placement and range, demonstrating that 400 meters is ideal for effective traffic management.

Contribution

The paper provides a case-specific simulation analysis of V2X communication coverage, identifying optimal RSU placement and range for Xanthi's traffic network.

Findings

400-meter communication range is optimal for Xanthi.

Improved traffic management with appropriate RSU placement.

Enhanced driving behavior and environmental conditions.

Abstract

Intelligent transportation systems (ITS) have been developed to improve traffic flow, efficiency, and safety in transportation. Technological advancements in communication such as the Vehicle-to-Everything (V2X), Vehicle-to-Vehicle (V2V) and Vehicle-to Infrastructure (V2I) enable the real-time exchange of information between vehicles and other entities on the road network, and thus play a significant role in their safety and efficiency. This paper presents a simulation study that models V2V and V2I communication to identify the most suitable range of data transmission between vehicles and infrastructure. The provincial city of Xanthi, Greece is used as a cases study, and the goal is to evaluate whether the proposed placement of Road Side Unit (RSU) provided adequate communication coverage on the city's road network. An analysis through different scenarios identified improvements in traffic management, driving behavior and environmental conditions under different RSU coverage. The results highlight that the communication range of 400 meters is the most adequate option for optimum traffic management in the city of Xanthi.