A team at the University of Oregon is 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 bike corridor in Eugene, Oregon. Researchers hope to eventually make their app available in other cities…
The FastTrack app requires a real-time feed from upcoming traffic signals on the bicyclist’s path. Cities with older equipment or with older Traffic Management Systems (TMS) may not be able to provide this feed. However, as cities replace older equipment and bring on a modern TMS, they will be fully capable of using a FastTrack app that is effective with both fixed and actuated intersections, giving their biking community green-wave opportunities.