Current traffic management strategies are based on expected conditions caused by recurring congestion (e.g. by time of day, day of week), and can be very effective when provisions are also given for reasonable variations from such expectations. However, traffic variations due to non recurrent events (e.g. crashes) can be much larger and difficult to predict, making also challenging efforts to measure and forecast their disruptive effects. This project explores a proactive approach to manage non… Read More

This interdisciplinary, multi-site, technology transferability study will advance innovative methods in travel data collection and improve the quality of data designed to show latent travel demand, as well as the impacts of mobility on the physical, mental, social, and economic/academic well-being of marginalized and underserved populations living in three diverse regions of the United States (highly segregated and marginalized communities of color in North Texas, a southwest border city, and… Read More