Optimization of Electric Shuttle
Fleet in an Automated Mobility District

PI: Sanjay Madria
Award amount $33,490
Award date: 01/22/19 to 08/01/19

ABSTRACT: The research is to design and  develop a high-performance distributed optimization system for electric shuttle routing in an automated mobility district. Also, the module will be transformed into a tool that can be used by city planners, and operations managers for a successful deployment of automated vehicle based on-demand mobility system. The outcome of this will be an optimal routing of electric shuttle to minimize mobility and energy, handling high number of on-demand requests through novel HPC/distributed optimization technique,  and the final goal is to enable solutions for automated electric fleet operations for on-demand mobility systems.