NITC researchers Stephen Fickas and Marc Schlossberg of the University of Oregon are on a mission: bring the benefits of V2I (vehicle-to-infrastructure communication) to bicycling. Earlier this year they published their proof-of-concept of a DIY vehicle-to-infrastructure "bike box" in Oregon for communicating with traffic signal controllers. In the most recent round of NITC grants awarded...Read more
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.
This webinar is based on a study funded by the National Institute for Transportation and Communities (NITC) and conducted at the University of Oregon. Read more about the NITC research: ...Read more
What if your bicycle could warn you that a car is coming from a side street you can't see? Or let you know that your front tire is getting a little low, or that you're approaching a pothole that wasn't there yesterday? A NITC research project led by John MacArthur of Portland State University explores how connected vehicle (CV) technologies could encourage an increase in bicycling. As CV technology moves forward in the rest of the transportation system—with buses and connected streetcars requesting early green lights from the traffic signals, and cars chatting with each other about their locations and trajectories—there may be...Read more
Most people who bike for transportation can probably think of "that one intersection:" The light where it's impossible to get a green without waiting. Even when there are no cars, pedestrians or other bikes in sight, you still know you'll have to stop and wait a while, sacrifice all your momentum, and wish you could have given the signal advance notice that you were coming.
Researchers at the University of Oregon have created an app for that.
Lead investigator Stephen Fickas, a computer and information science professor at the UO, developed the app, along with a specially-designed Bike Connect ‘box' (watch the 3-minute video) that attaches to a traffic signal controller. With the box installed, the app allows a cyclist to alert the signal that they're...Read more
Miss the webinar or want a look back?
Although connected vehicles (CVs) will soon go beyond testbeds, CVs and human-driven vehicles (HVs) will co-exist over a long period. Hence, it is critical to consider the interactions between these two types of vehicles in traffic flow modeling. In this study, we aim to develop a macroscopic model to understand how CVs would impact HVs in the traffic stream. Grounded on the second-order traffic flow model, we study the relationships among flow, density, and speed by two sets of formulations for the groups of CVs and HVs, respectively. A set of friction factors, which indicate CVs' impact to HVs, are introduced to the speed equation for accounting CV speed impacts. Then extended Kalman Filter is employed to update both model parameters and friction factors in real-time. By using CVs trajectory data as measurements, the difference between CV average speed and overall traffic mean speed will be fully accounted. The proposed model will serve as a basis for designing CV-based traffic...Read more
Learn more about this and other "Smart Cities" technology by registering for this September 14 workshop.
Connected Vehicle (CV) technology is coming to Portland, Oregon. We're excited to announce the first step in what could be a long-term game changer for the city: during the winter of 2018, researchers from Portland State University and University of Arizona will work with the City of Portland to deploy a test concept of CV tech on the Portland Streetcar.
Primarily funded by the National Institute for Transportation and Communities (NITC), the Connected Streetcar Project is one of the Portland Bureau of Transportation’s (PBOT) 2018 Smart Cities pilot projects, and also part of the city’s ...Read more
Watch video:Read more
If you weren’t one of the 10,000 people who attended the Transportation Research Board’s Annual Meeting in January, there are fifty students and twenty faculty for PSU, UO, OSU and OIT who can tell you what they learned there. OTREC's bright yellow lanyards made our presence especially visible! PSU student Brian Davis blogged about his experience, OTREC’s Jon Makler was interviewed in a local newspaper, and the Oregon “delegation” at the conference was covered by both local and national blogs. Team OTREC filed some daily debriefs, highlighting presentations on topics such as federal stimulus investments in Los Angeles and Vermont’s efforts to address their transportation workforce crisis with returning military veterans (as well as the...Read more