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Full-Text Articles in Urban Studies and Planning

New Radar Sensor Technology For Intelligent Multimodal Traffic Monitoring At Intersections, Siyang Cao, Yao-Jan Wu, Feng Jin Nov 2021

New Radar Sensor Technology For Intelligent Multimodal Traffic Monitoring At Intersections, Siyang Cao, Yao-Jan Wu, Feng Jin

TREC Project Briefs

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 crucial.

The Federal Highway Administration estimates that more than 50 percent of the combined total of fatal and injury crashes occur at or near intersections. For pedestrians the intersection is a particularly dangerous place: the City of Portland, OR identified that two-thirds of all crashes involving a pedestrian happen at intersections. And when darkness comes earlier in fall and winter, crashes increase dramatically. So …


Improving Mobility And Quality Of Life For Older Adults, Kate Hyun, Caroline Krejci, Kathy Lee Nov 2021

Improving Mobility And Quality Of Life For Older Adults, Kate Hyun, Caroline Krejci, Kathy Lee

TREC Project Briefs

As we get older, transportation provides a vital link between home and community. Without reliable and easy ways to get around, many older adults (especially those who live alone) have limited access to essentials like groceries and medicine, let alone social interaction. A new report from the University of Texas at Arlington (UTA), Developing Strategies To Enhance Mobility And Accessibility For Community-Dwelling Older Adults, looked at the mobility challenges, barriers, and gaps that older adults experience, with an eye toward developing forms of assistance or educational strategies to fill those gaps.


New Mobility For All: Bringing Emerging Transportation Options To Underserved Communities, John Macarthur, Nathan Mcneil Nov 2021

New Mobility For All: Bringing Emerging Transportation Options To Underserved Communities, John Macarthur, Nathan Mcneil

TREC Project Briefs

Low-income residents, immigrants, seniors, and people with disabilities – these are people who stand to gain the most from new tools and services that reduce transportation costs and travel time. However, issues of affordability, technology adoption, banking access or other barriers can limit access to these new mobility opportunities. In the latest project funded by the National Institute for Transportation and Communities (NITC), New Mobility For All, Portland State University researchers Nathan McNeil, John MacArthur and Huijun Tan worked with the City of Portland’s Bureau of Transportation (PBOT) to evaluate a local pilot program: the Transportation Wallet for Residents of …


Road Work Ahead: Using Deep Neural Networks To Estimate The Impacts Of Work Zones, Abbas Rashidi, Ali Hassandokht Mashhadi Sep 2021

Road Work Ahead: Using Deep Neural Networks To Estimate The Impacts Of Work Zones, Abbas Rashidi, Ali Hassandokht Mashhadi

TREC Project Briefs

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 them, would be a major help to both transportation agencies and road users. Funded by the National Institute for Transportation and Communities, the latest Small Starts project led by Abbas Rashidi of the University of Utah introduces a robust, deep neural network model for analyzing the automobile traffic impacts of construction zones.


Using Deep Learning Algorithms To Give Bicyclists The “Green Wave” At Traffic Signals, Stephen Fickas Aug 2021

Using Deep Learning Algorithms To Give Bicyclists The “Green Wave” At Traffic Signals, Stephen Fickas

TREC Project Briefs

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.


Applying Data-Driven Multimodal Speed Management Strategies For Safe, Efficient Transportation, Yao-Jan Wu, Xianfeng Yeng, Sirisha Kothuri Jan 2021

Applying Data-Driven Multimodal Speed Management Strategies For Safe, Efficient Transportation, Yao-Jan Wu, Xianfeng Yeng, Sirisha Kothuri

TREC Project Briefs

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 Transportation Lab at the University of Arizona. Co-investigators were Xianfeng Terry Yang of the University of Utah, who researches traffic operations and modeling along with connected automated vehicles, and Sirisha Kothuri of Portland State University, whose research has focused on improving signal timing to better serve pedestrians. “We want to improve mobility for all users, be it pedestrians, vehicle drivers or …