A team based in Portland, Oregon is developing a sensor-connected “smart” corridor where transit data, traffic signalization, and air quality sensing are accessible in a data portal with visualization and
analytics to reduce air pollution. The purpose is to identify the effects of traffic signal systems and rapid transit on neighborhood air quality (e.g., particulate dispersion into neighborhoods). The team will explore lower cost sensors to measure air quality and how modeling and analytics can help local government make good transportation policy choices. A first phase test-bed investigated air quality impacts of transit and transportation decision-making in a discrete, wired corridor of Portland known as the Powell Boulevard corridor, which includes a major intra-city highway, the Clinton Street bikeway, and the Division Street development. At the GCTC EXPO, the team showcased their successful test-bed research and resulting analysis related to air quality impacts of transit and transportation decision-making in the Powell Boulevard corridor.
Citizens who use bikes, public transport, and walk could see the traffic management system change in a way that privileges and optimizes the benefits of their modes of transportation.