Counts provide the foundation for measuring nonmotorized travel along a link or a network and are also useful for monitoring trends, planning new infrastructure, and for conducting safety, health, and economic analyses. For safety analysis, they are critical in assessing the exposure to risk. Over… Read More

Planners and modelers at all levels of government have been grappling with the problem of how to better represent bicycling when modeling and forecasting future scenarios. Planners want to know how and to what extent infrastructure projects can increase bicycling activity and reduce the health,… Read More

This research project develops a novel methodology for assessing transportation network vulnerability and resilience, with a particular focus on incorporating social vulnerability into the analysis. The study addresses a critical gap in existing research by integrating socioeconomic vulnerability… Read More

Navigating an unfamiliar place is uniquely challenging for people with disabilities. People with blindness, deafblindness, visual impairment or low vision, as well as those who use wheelchairs, can travel more independently in urban areas with the aid of effective wayfinding technology. A new… Read More

Pedestrian safety is critical to improving walkability in cities. To that end, NITC researchers have developed a system for collecting pedestrian behavior data using LiDAR sensors. Tested at two intersections in Texas and soon to be tested at another in Salt Lake City, Utah, the new software… Read More

Travel time reliability – or the consistency and dependability of travel times from day to day, and at different times of day – is a key metric that significantly affects people’s travel behavior. Since businesses rely heavily on transportation systems, an unreliable transportation network can also… Read More

In order to make sure bicyclists' needs are considered when improving a transportation system, planners and engineers need to know how many people are biking, and where. Traditional bicycle counters can provide data for limited sections of the bike network, often these counters are installed at… Read More

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… Read More

This project will create a foundation for deploying connected vehicle infrastructure and facilitating connected vehicle research for the NITC UTC. Connected Vehicle (CV) technology and the associated data has the potential to help us better understand vehicle, streetcar, and transit performance as… Read More

Led by Xiaoyue Cathy Liu of the University of Utah, researchers have created a web-based modeling tool that enables U.S. transit providers to explore the impacts of changing over their systems to battery electric buses, or BEBs. The researchers ran the model for TriMet in Portland, OR, as well,… Read More

Performance metrics have typically focused at two main scales: a microscopic scale that focuses on specific locations, time-periods, and trips; and, a macroscopic scale that averages metrics over longer times, entire routes, and networks. When applied to entire transit systems, microscopic… Read More

Electric bikes (e-bikes) are a new mode of transportation that could substantially improve efficiency in the transportation system if adopted as substitutes for cars. Researchers at University of Tennessee, Knoxville, Portland State University, and Bosch E-Bike Systems have received funding from… Read More