Artificial intelligence and machine learning (ML) techniques have gained traction in transportation system management as a key part of Smart City and Intelligent Transportation Systems (ITS) projects and initiatives. Some of the most significant and recent advancements in AI-based transportation networks happened with the integration of sophisticated ML algorithms into ITS technologies.
ML algorithms “learn” from studying traffic patterns, pedestrian behaviors and other experiences so they are constantly improving their models and by extension, improving the safety of roadways.
