Ride-sharing with Advanced Air Mobility

Ride-sharing with Advanced Air Mobility

Headshot of Daniel DeLaurentis. The link directs to their bio page.
Daniel DeLaurentis
Headshot of Dengfeng Sun. The link directs to their bio page.
Dengfeng Sun
Purdue University Logo. The link directs to the funded research led by this institution.

Principal Investigator(s):

Daniel DeLaurentis, Professor of Aeronautics and Astronautics – Purdue University
Director – Center for Integrated Systems in Aerospace (CISA)
Dengfeng Sun, Associate Professor of Aeronautics and Astronautics – Purdue University

Project Abstract:
In this project, we will investigate ride-sharing service using air and ground vehicles to improve efficiency and mobility in the transportation system of a metropolitan area. We will design and evaluate ride-sharing schemes that can potentially reduce the time and economical cost on urban commuters, increase the revenue of the transportation service provider, and boost local economics. Activities in the proposed project will include the development of a comprehensive mathematical model for the autonomous aerial ride-sharing service that capture the new characteristics in the futuristic ride-sharing system and the key components of related costs. Based on the new ride-sharing model, a distributed computational framework will be developed to accommodate the large problem size for practical real-time ride-sharing recommendations. Lastly, a resilient variant of the distributed computational algorithm will be proposed and analyzed to mitigate systematic uncertainty and/or cyberattack in the ride-sharing system.

Institution(s): Purdue University

Award Year: 2021

Research Thrust(s): Control & Operations, Enabling Technology, Modeling & Implementation

Project Form(s):