Adaptive Artificial Intelligence Traffic Network Management System for Urban Cities

This research sheds new insights into artificial intelligence traffic network management systems by improving the overall quality of traffic data and increasing the accuracy of traffic analysis. Additionally, a simulation environment is provided to aid the study of urban traffic network upgrades. Lastly, minimizing travel time via an adaptive rerouting system allows more efficient usage of road users' time.