Project Grant 2225087

This $547,447 National Science Foundation project grant supports research at Northwestern University toward developing an integrative machine learning approach for traffic management. The three-year award, issued on September 1, 2022 under the Engineering program (CFDA 47.041), will create and test hybrid machine learning methods tailored for transportation domain problems involving hierarchical optimization of ridesharing and traffic flows. The grantee will introduce a novel framework combining optimization, game theory, and machine learning to address challenges in leveraging ridesharing for improved mobility, efficiency, and sustainability of transportation systems. Findings aim to advance understanding of ridesharing as both a cooperative travel mode and traffic management tool. Northwestern University will deliver research outcomes advancing both transportation science and machine learning applications in the transportation domain.