As the government and private companies start launching new mobility sharing programs with diverse objective criteria and practical restrictions, they are often constrained to unknown budget for launching new services versus expanding existing ones and also face uncertain customer demands responding to different mobility-sharing forms. The objective of this project is to develop mathematical models and efficient algorithms for shared mobility system design and optimization. The research will: (i) push both theoretical and computational frontiers of optimization methods in new transportation problems; (ii) impact applications of shared mobility that relate to critical civil infrastructures, supply chain & logistics, and other service industries. This is a collaborative research project co-investigated by Prof. Siqian Shen, Prof. Ruiwei Jiang, and Prof. Mengshi Lu (Purdue University).
Siqian Shen and Ruiwei Jiang receive NSF funding
Research Process Manager
Industrial & Operations Engineering
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