A team of Rutgers researchers led by VTC’s Hannah Younes analyzed the effect of a bicycle lane on traffic speeds using computer vision techniques.
Clinton Andrews
Gender split and safety behavior of cyclists and e-scooter users in Asbury Park, NJ
In this study, researchers Hannah Younes, Robert B. Noland, and Clinton J. Andrews used traffic camera footage to observe the behavior of over 700 shared e-scooters and privately owned bicycles in Asbury Park, New Jersey. The authors discuss policy implications with regard to safety and gender differences between the two modes of transit.
Exploring Stress Levels of E-Scooter Riders
The results of this pilot data collection effort provide insights on the potential use of the latest sensor technology and computer vision algorithms to understand travel behavior for new and emerging transportation modes.
Recent Publications
New Jersey Micromobility Guide (2025)
The New Jersey Micromobility Guide serves as a resource for micromobility users across the state, collecting and summarizing the laws and safety best practices that can make riders safer. Micromobility, which includes e-bikes, e-scooters, and other low-speed devices,...
Funding Opportunities and Programmatic Insights for Advancing Shared Use Paths, Trails, and Greenways in New Jersey
Trail networks enhance community well-being, providing accessible options for walking, biking, and rolling while promoting sustainability and economic vitality. In New Jersey, investing in trails and shared-use paths supports mobility, safety, and environmental goals,...
Inroads to Innovation: New Jersey’s Technology Transfer Program
From labor-saving inspection drones to safety-enhancing techniques for bridge repair and preservation, a multipronged New Jersey Department of Transportation technology transfer initiative is helping to advance innovation throughout the agency and state. The goal:...
Disparities in ridehailing travel times for accessing non-work destinations
We contribute to the literature on new mobilities by measuring spatial disparities in travel times for accessing essential non-work destinations via ridehailing. We focused on healthcare, restaurants, and grocery destinations in Chicago. Data from Chicago ridehailing...