National Institute for Transportation and Communities

Researchers Aaron Golub, John MacArthur and Sangwan Lee of Portland State University, Anne Brown of the University of Oregon, and Candace Brakewood and Abubakr Ziedan of the University of Tennessee, Knoxville have published a new journal article in the September 2022 volume of Transportation Research: Interdisciplinary Perspectives. 

Rapidly-evolving payment technologies have motivated public transit agencies in the United States to adopt new fare payment systems, including mobile ticketing applications. The article, "Equity and exclusion issues in cashless fare payment systems for public transportation," explores the challenges facing transit riders in the U.S. who lack access to bank accounts or smartphones, and potential solutions to ensure that a transition to cashless transit fares does not exclude riders. Learn more about the project and read an open-access version of the final report.

The study asks: who is most at risk of being excluded by the transition to new fare payment systems and how would riders pay transit fares if cash payment options were reduced or eliminated? Researchers answer these questions using intercept surveys of 2,303 transit riders in Portland-Gresham, OR, Eugene, OR, and Denver, CO.

The...

The 101st annual meeting of the Transportation Research Board (TRB) is coming up January 9 - 13, 2022, and has returned to an in-person gathering in Washington, D.C. Supported by funding from the U.S. DOT, research from the National Institute for Transportation and Communities will be featured at this annual gathering.

Below we've rounded up some highlights of research being presented by transportation experts from our participating NITC-funded campuses: Portland State University (PSU), University of Oregon (UO), University of Utah (UU), University of Arizona (UA), and University of Texas at Arlington (UTA). Please check out our full NITC guide for all of the sessions:

*Due to the evolving status of speaker attendance and TRB programming for next week, please check your TRB schedule for the most current information in the event...

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 bike corridor in Eugene, Oregon. Researchers hope to eventually make their app available in other cities.

"The overall goal is to give bicyclists a safer and more efficient use of a city’s signaled intersections. The current project attempts to use two deep-learning algorithms, LSTM and 1D CNN, to tackle time-series forecasting. The goal is to predict the next phase of an upcoming, actuated traffic signal given a history of its prior phases in time-series format. We're encouraged by the results," Fickas said.

Their latest work builds on two prior projects, also funded by the National Institute for Transportation a Communities: in which Fickas and his team successfully built and deployed a hardware and software product called ‘Bike Connect’ which allowed people on bikes to give hands-free advance...

We're proud to announce the publication of a new NITC dissertation: "Free Movement: Enhancing Open Data To Facilitate Independent Travel For Persons With Disabilities," by Shiloh Deitz of the University of Oregon.

"In this project, I found that across the United States there is a lack of both data for accessible pedestrian routing and tools for filling in those data. AI methods have contributed to filling in missing data for applications like autonomous vehicles but much less often to intervene in quality of life improvements. Critical geoAI, that is, bringing a critical geographic lens to artificial intelligence applications, has the potential to contribute to the amelioration of these data and analytic gaps," Deitz said.

Nearly 40 million Americans report a disability, and of this population, 70 percent travel less because of the challenges they face. When they do travel, those with limited mobility are more likely to be pedestrians or public transit users. Today, free commercial routing applications such as Google Maps offer a robust suite of tools for the able-bodied public to walk, ride bikes, take public transportation, or hail a taxi. Yet, such tools for persons with limited mobility to determine a safe and perhaps even pleasant urban route are experimental, limited, and only available in select cities (e.g....