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

Instructional Modules for Obtaining Vehicle Dynamics Data with Smartphone Sensors

Roger Lindgren
Charles (C.J.) Riley
Past NITC education grants to Oregon Tech provided funding for developing new graduate-level coursework in transportation (2014-15) and to support development of learning activities related to smartphone/ipod sensors for transportation structural health monitoring (2015-16). The request this year (2016-17) proposes to build on the success of these past two grants and support specific coursework development by the creation of learning activities (primarily field laboratory modules) related to ... Read More