Mobility

This study develops a framework to evaluate the impact of transit-oriented development projects on low-income residents. The goal is to ensure these projects benefit vulnerable communities and promote equitable outcomes. The research aims to provide a model for assessing and improving transit development nationwide.

Faculty advisors: Burcu Akinci and Corey Harper

Heavy-duty vehicles are responsible for a disproportionate share of fatal accidents and carbon emissions in the transportation system. This research focuses on creating a digital twin framework that integrates real-time data and telematics to model the physical and operational dynamics of heavy-duty vehicles, continuously monitoring vehicle behavior, predicting potential safety risks, and suggesting interventions to prevent crashes. The system provides transparent, data-driven insights for fleet managers, helping optimize vehicle operations, enhance safety, and reduce emissions, while informing regulatory standards and policy decisions.

Faculty advisor: Pingbo Tang