Preparation of Pavement Infrastructure for Connected and Autonomous Vehicle Deployment –Phase I
Dr. Xianbiao Hu, PI, Missouri University of Science I& Technology
Dr. Jenny Liu, Co-PI, Missouri University of Science & Technology
While Connected and Autonomous Vehicle (CAV) might be ten or fifteen years away from large-scale deployment in reality, considering the long lifespan of transportation infrastructure, it might be beneficial for departments of transportation (DOT) to start to prepare transportation infrastructure to support future CAV testing and deployment. This project will firstly quantify the CAV trajectory pattern with the help of an autonomous driving simulation software, and explore and identify available datasets such as the Long-Term Pavement Performance (LTPP) database to develop and train an Artificial Intelligence (AI)-based pavement performance predictive model. Such model, once trained and validated, will be applied onto the collected CAV trajectory datasets, to study the impact of CAV movements to the pavement infrastructure.