Autonomous mobility-on-demand (AMoD) and ridesplitting are expected to be the future of urban mobility due to lesser required resources and impacts for our daily travel. But, in early-stage realization, they have lesser practicability. This dissertation combines microscopic modeling and dynamic-stochastic optimization to model detailed and efficient AMoD ridesplitting operations. Alongside, it also develops network and AMoD demand estimation methods to thoroughly model, plan, and assess the service.
«
Autonomous mobility-on-demand (AMoD) and ridesplitting are expected to be the future of urban mobility due to lesser required resources and impacts for our daily travel. But, in early-stage realization, they have lesser practicability. This dissertation combines microscopic modeling and dynamic-stochastic optimization to model detailed and efficient AMoD ridesplitting operations. Alongside, it also develops network and AMoD demand estimation methods to thoroughly model, plan, and assess the serv...
»