Developing Vehicular Traffic Datasets Using Drone images and AI Techniques Following the growth of cities, we are facing more traffic, pollution, and longer drives. Because urban road networks are complex and traffic conditions are changing, managing this traffic is difficult. Although there is the possibility of artificial intelligence as a solution, many current AI-based traffic systems are having trouble running consistently. The authors relied on data sets that were collected at fixed points, in stable environments, and updated infrequently. It is challenging for models to generalize to new cities, unusual incidents, or unexpected changes because such data sets cannot capture the diversity of real-world environments.