In this project, my primary focus revolves around analyzing and evaluating the new challenges arising from the interaction between traditional human-driven vehicles and Autonomous Vehicles (AVs) on public roads. This coexistence will persist for several decades until full AV adoption, creating new challenging driving scenarios. These challenges result from disparities in behavior, reaction times, and environmental perception between human drivers and AVs. My research seeks to envision and evaluate these scenarios, with a particular focus on Abu Dhabi—a promising exemplar for the successful integration of autonomous vehicles. This work aims to promote safer, more convenient transportation solutions while providing valuable insights into the broader impacts of AV adoption. To project the impact of these scenarios in the future, accurate predictions of traffic demand are essential. These predictions will enable the evaluation of the impact of varying AV penetration rates. My research relies on realistic traffic data, leveraging a better understanding of the envisioned road conditions, and aiding several prediction models.