Modeling, Computation and Analysis of Gaussian-Based Probability Density Function and Conflict Potential Field for Cooperative Overtaking

The collaborative overtaking framework presents significant potential for advancing road traffic safety and operational efficiency in intelligent transportation systems. By enabling instantaneous communication among roadway infrastructure, proximate vehicles, and other traffic entities, the framework facilitates the seamless exchange of critical information. Recognized for its superior performance, it is poised to play a pivotal role in the evolution of next-generation Advanced Driver Assistance Systems (ADAS), particularly with the proliferation of 5G communication technologies. This paper examines fundamental challenges associated with the modeling, computation, and analysis of Gaussian-based probability density functions and conflict potential fields, applying these methodologies to coordinated overtaking systems. Specifically, a Gaussian-based conflict potential field model is introduced alongside a risk assessment methodology designed to enhance overtaking safety by evaluating collision risks through vehicle-to-vehicle communication. Empirical experiments further substantiate the efficacy of the proposed approach, demonstrating notable performance improvements under dynamic and unpredictable driving conditions.