Research Projects | National Institute for Transportation and Communities

Evaluation of Portland Shared E-Scooter Pilot Program Goals and Outcomes

Principal Investigator: John MacArthur

Co-Investigator: Jennifer Dill

Shared electric scooters (e-scooters) are fast becoming a mobility option across the U.S. Many cities are permitting their operation, in part, as a way to provide another option to driving private cars. This could reduce private vehicle miles travell ... Read More

Examining the Impact of Transportation- Related Barriers on Self-Perceived Physical Health among Adults in the United States

Principal Investigator: Philip Baiden

Co-Investigators: Godfred Boateng , Stephen Mattingly

What is the relationship between access to transportation and our own perception of physical health? That's the question researchers explored in the latest report funded by the National Institute for Transportation and Communities (NITC), "Examini ... Read More

Development of Intelligent Multimodal Traffic Monitoring using Radar Sensor at Intersections

Principal Investigator: Siyang Cao

Co-Investigator: Yao-Jan Wu

Intelligent Transportation Systems (ITS) need traffic data to run smoothly. At intersections, where there is the greatest potential for conflicts between road users, being able to reliably and intelligently monitor the different modes of traffic is c ... Read More

Modeling Capacity: Multiple Weaving Areas

Principal Investigator: Sheida Khademi

Co-Investigators: Behruz Paschai , James Williams

Systematic, well-designed research provides the most effective approach to the solution of many problems facing highway administrators and engineers. Traffic congestion on freeway systems is one significant concern in urban areas throughout the U.S.A ... Read More

Data-Driven Mobility Strategies for Multimodal Transportation

Principal Investigator: Yao-Jan Wu

Co-Investigators: Xianfeng (Terry) Yang , Sirisha Kothuri

How can we use a variety of data-driven speed management strategies to make transportation safer and more efficient for all modes–whether you’re driving, walking or taking transit? The project was led by Yao Jan Wu, director of the Smart Trans ... Read More

E-Scooters and Public Health: Understanding the Implications of E-Scooters on Chronic Disease

Principal Investigator: Nicole Iroz-Elardo

E-scooters are an emerging micromobility transportation option with implications on transportation systems and public health. To date, most research on public health and E-Scooters has focused on safety implications. Health implications other than in ... Read More

Network Effects of Disruptive Traffic Events

Principal Investigator: Juan Medina

Co-Investigator: Xiaoyue Cathy Liu

Current traffic management strategies are based on expected conditions caused by recurring congestion (e.g. by time of day, day of week), and can be very effective when provisions are also given for reasonable variations from such expectations. Howev ... Read More

Optimizing Housing and Service Locations to Provide Mobility to Meet the Mandated Obligations for Former Offenders to Improve Community Health and Safety

Principal Investigator: Anne Nordberg

Co-Investigators: Stephen Mattingly , Jaya Davis

Imagine you've just been released from prison. You don't have a phone yet, or a car, but through your reentry service, you are set up for now with a place to stay. They also got you a job interview for next Monday, but it's across town. You also have ... Read More

Pedal the Old Pueblo: A Naturalistic Study on Bicycling in Tucson, AZ

Principal Investigator: Joey Iuliano

City investments in bicycle infrastructure can improve residents' health and wellness, lower pollution, fight climate change, and reduce congestion. While transportation geography and planning have long focused on looking at how vehicles, goods, and ... Read More

Applying an Equity Lens to Automated Payment Solutions for Public Transportation

Principal Investigator: Aaron Golub

Co-Investigators: Anne Brown , Candace Brakewood , John MacArthur

Our multi-year study on automated transit fare collection offers a key finding that won't surprise you: Despite the convenience, the rush toward cashless fare systems has created barriers for lower-income riders seeking to use transit. Results from f ... Read More

Green Waves, Machine Learning, and Predictive Analytics: Making Streets Better for People on Bikes

Principal Investigator: Stephen Fickas

Co-Investigator: 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 mul ... Read More

Evaluating Mobility Impacts Of Construction Workzones On Utah Transportation System Using Machine Learning Techniques

Principal Investigator: Abbas Rashidi

Roadside construction – be it a detour, a closed lane, or a slow weave past workers and equipment – work zones impact traffic flow and travel times on a system-wide level. The ability to predict exactly what those impacts will be, and plan for th ... Read More