Novel Artificial Intelligence Model for Efficient Demand Responsive Transport Systems

Demand Responsive Transport (DRT) systems are a fleet of vehicles which transport passengers to and from certain locations within a fixed zone, and can adjust to the demands of the system accordingly. This thesis' proposes the usage of a novel artificial intelligence model to increase the efficiency of DRT systems in assigning vehicles to serve bookings, and to reduce the time taken to perform these calculations.