Shared Autonomous Vehicle

Shared autonomous vehicles (SAVs) represent a rapidly developing area of research focused on optimizing the efficiency and accessibility of on-demand transportation. Current research emphasizes the development of intelligent routing algorithms, often employing reinforcement learning models, to minimize passenger wait times, reduce empty vehicle travel, and efficiently manage fleets in response to fluctuating demand, including surge events. This work is crucial for evaluating the environmental impact and societal benefits of SAVs, informing the design of effective and sustainable shared mobility systems, and addressing critical challenges like trust and user acceptance.