On this website, we have included useful material to enhance the comprehension of our paper titled "Performance-Sensitive Potential Functions for Efficient Flow of Connected and Automated Vehicles". The site is organized in 3 pages. 

• On the first page (Old potential function), we briefly discuss the technical gap that our study focuses on, as identified in our proposed research effort [2]. More specifically, we highlight the weak points identified in [1], along with the associated potential function used.

• On the second page (Influence of the parameters), we present a dynamic visualization that illustrates the influence of the parameters r, p, and α on the shape of the new parameterized potential function. 

• On the third page (Neural Network result), we present the performance figure that we exported after training our neural network.

• On the fourth page (Video Simulations), we provide video simulations while dynamically presenting the inter-vehicle distances of the vehicles. These simulations offer a practical perspective and enable viewers to observe the dynamics of inter-vehicle spacing in real-time. By incorporating these videos, we aim to enhance the accessibility and clarity of our research findings, providing an intuitive and comprehensive understanding of the concepts discussed in our paper.