Optimizing Intersection Safety through Next-Gen Vehicular Communications: A Simulation-Based Evaluation of Intersection Movement Assist Systems

In the context of advancing vehicular safety through communication technologies, this study presents a comprehensive simulation framework tailored for Intersection Movement Assist (IMA) systems. With vehicular communication becoming integral to future transportation paradigms, assessing the efficacy of IMA systems is paramount. The simulation framework encompasses realistic modelling of communication parameters such as path loss, shadow fading, and channel conditions, alongside the incorporation of a deep learning-based channel predictor to estimate transmission quality. By simulating interactions among multiple vehicles equipped with communication modules, the framework facilitates the evaluation of critical safety metrics including vehicle arrival times at intersections, temporal gaps between vehicles, and the issuance of warnings based on collision risk assessments. Furthermore, the framework tracks message transmission and reception rates to measure the system performance comprehensively. The proposed work exhibits the average success payload transmission probability of 97.17%, 96.7% and 92.17% for highway, rural and urban layouts. This work contributes to the burgeoning field of intelligent transportation systems by providing a robust platform for evaluating the effectiveness of IMA systems in enhancing intersection safety through vehicular communication.