A Swarm Intelligent Model for AVs Based on Vicsek and OV Model

This research endeavors to explore the intricate dynamics and modeling of swarm intelligent behavior in internet-connected autonomous vehicles (AVs) by adapting and extending the Vicsek model, a renowned framework originally designed to understand the collective motion of self-propelled particles. The Vicsek model is being modified to accommodate the unique characteristics of AVs, such as their advanced sensor capabilities, sophisticated communication technologies, and the imperative need for robust safety protocols. The increasing complexity and connectivity of AV swarms demand sophisticated models to predict, analyze, and optimize their collective behavior, which is essential for enhancing traffic flow, safety, and efficiency in the era of smart transportation systems. This study will involve developing a modified Vicsek model that can accurately capture the nuances of AV interactions within swarms, taking into account the real-time data exchange and decision-making processes that are inherent to their operation. The goal is to create a model that not only reflects the current state of AV technology but also anticipates future developments, providing a robust framework for the analysis and optimization of AV swarm behavior in various traffic scenarios.