G. Watson’s scientific contributions

... The application of AI in transportation systems aims to model and predict travel patterns accurately, especially in the face of growing urban traffic [9]. Researchers are exploring AI applications in corporate decision-making, public transport improvement, and connected autonomous vehicles to enhance productivity and safety on highways [2]. In planning, designing, and controlling transportation networks, Intelligent Transport Systems (ITS), an advance applications which aim to provide innovative services relating to different modes of transport and traffic management and enable various users to be better informed and make safer, more coordinated, and "smarter" use of transport networks, leverage AI technologies like Deep Reinforcement Learning (deep RL) and Genetic Algorithms (GA) to optimize traffic control policies and reduce congestion [10]. ...

Reference:

A Review of the Advances in Artificial Intelligence in Transportation System Development