How to Use AI to Enhance Urban Traffic Management
Introduction With urban populations on the rise and cars clogging city streets, controlling traffic has become one of the most urgent tasks for urban planners. The traditional traffic signals with static time management and little access to real-time information are no more able to cope with city movement as it evolves. Enter the AI traffic management system —a brand-new way of looking at how traffic is monitored, anticipated, and controlled. AI traffic management applies machine learning, computer vision and predictive analytics to better traffic lights, ease congestion and increase the efficiency of transportation systems. In these digital transformation leading cities, the AI traffic management system is emerging as the key panacea to fight gridlock, pollution, and make a safer commute for all. In this article, we will look at some of the key ingredients of AI in traffic management, the way it is already being used in cities across the globe, and what urban planners need to do in or...