Shared E Mobility

Shared electric mobility (e-mobility) services, encompassing e-cars, e-bikes, and e-scooters, aim to improve urban transportation by reducing emissions and offering convenient alternatives. Current research heavily focuses on optimizing these systems through sophisticated models, including multi-agent reinforcement learning and deep neural search, to address challenges like fleet rebalancing, efficient route planning (incorporating walking legs), and optimal infrastructure deployment. These advancements are crucial for maximizing service coverage, user satisfaction, and system profitability, impacting both urban planning and the broader field of transportation optimization.