Portland State University

PRESENTATION ARCHIVE

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OVERVIEW

The "Fast Track" project at the University of Oregon focuses on a mode of transportation that is sometimes left out of vehicle-to-infrastructure, or V2I, conversations: Bicycling. NITC researchers developed an app based on a new technology being integrated into modern cars: GLOSA, or Green Light Optimized Speed Advisory. GLOSA allows motorists to set their speed along corridors to maximize their chances of catching a "green wave" so they won't have to stop at red lights.

This project demonstrates how GLOSA can be used by bicyclists in the same way it is used by motorists, with a test site on a busy car and bike corridor feeding the University of Oregon campus: 13th Avenue in Eugene, Oregon. Researchers developed a smartphone app that tells a cyclist whether they should adjust their speed to stay in tune with the signals and catch the next green. The project demonstrates how university researchers, city traffic engineers, and signal-controller manufacturers can come together to help bicyclists be active participants in a smart transportation system.

Offered through the Initiative for Bicycle and Pedestrian Innovation at TREC, this four-credit PSU study abroad program (CE 495 / 595) presents an introduction to sustainable transportation and land use applications in the Dutch context.

WATCH A RECORDED INFO SESSION

Before you apply for the program, check out some frequently asked questions or watch the recent Jan 11, 2019 information session:

• Click here to watch the recorded video
• Click here to view the presentation slides

PROGRAM OVERVIEW (June 23 - July 6, 2019)

The course creates an immersive experience to explore the Dutch approach to cycling, transit, innovative mobility and land use. The curriculum...

RECAP: WEBINAR VIDEO + SLIDES

Missed the presentation or want a look back at the slides? Check out the video below or view the presentation slides here.

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A new NITC report introduces an important tool for safety analysis: a naturalistic method of data collection that can be used to improve the cycling experience.

Before now, most naturalistic studies (studies where data are collected in a natural setting, rather than a controlled setting) in bicycle safety research have been captured by stationary cameras and haven't followed cyclists along a route.

Researchers in this study used first-person video and sensor data to measure cyclists' reactions to specific situations.

Safety research in general has advanced significantly through naturalistic driving studies, which gather data from real drivers to illuminate the causes of traffic incidents both major and minor. For motorized vehicles, the U.S. Department of Transportation has been developing portable, vehicle-based data collection technologies since the early 1990s.

Portland State University researchers Feng Liu, Miguel Figliozzi and Wu-chi Feng sought to capture the cycling experience with physiological sensors and helmet-mounted cameras.

Their report, Utilizing Ego-centric Video to Conduct Naturalistic Bicycling Studies, offers a successful method for integrating video and sensor data to record cyclists...