Research Highlights

Green Waves, Machine Learning, and Predictive Analytics: Making Streets Better for People on Bikes

Stephen Fickas
Marc Schlossberg
Led by Dr. Stephen Fickas of the University of Oregon (UO), transportation researchers are working to give bicyclists smoother rides by allowing them to communicate with traffic signals via a mobile app. The latest report to come out of this multi-project research effort introduces machine-learning algorithms to work with their mobile app FastTrack. Developed and tested in earlier phases of the project, the app allows cyclists to passively communicate with traffic signals along a busy bi... Read More

Utilizing Ego-centric Video to Conduct Naturalistic Bicycling Studies

Feng Liu
Miguel Andres Figliozzi , Wu-chi Feng
Bicycling is enjoying a surge in popularity across the USA but bicycle safety continues to remain a challenge. Cyclists (and pedestrians) are the most vulnerable road users since cyclist-vehicle collisions often result in severe injuries and have high fatality rates with respect to other types of collisions. In particular, intersections are one of the most critical areas in a road network given the high number of conflicts and accidents occurring at these locations. Existing data collecti... Read More