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.
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.
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.
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.
Virtual public involvement (VPI), defined by the Federal Highway Administration as “the use of digital technology to engage individuals or to visualize projects or plans,” is now an essential part of public participation in transportation planning and project...
We report on an analysis of carbon emissions from commuting to a large multi-campus university system, Rutgers, the State University of New Jersey. This is derived from a campus survey to assess carbon emissions and various attitudes towards sustainability across a...
Women and sexual and gender minorities (SGMs) have unique transportation experiences and needs, including public transit services. However, there is a gap in the data that documents their experiences and needs. This paper aims to add to existing research by examining...
Since its creation in 1979, NJ TRANSIT has grown into the geographically largest public transit system in the United States. Over more than four decades, the agency’s financial structure has shifted in response to changing state and federal priorities—shaping service...