Computer vision techniques were used to detect and classify the speed and trajectory of over 9,000 motor-vehicles at an intersection that was part of a pilot demonstration in which a bicycle lane was temporarily implemented.
Leigh Ann Von Hagen
During the early stages of the pandemic, there were reports of a surge in bicycling activity across the country, as well as in New Jersey, leading to a marked increase in bicycle purchases. But was this surge temporary or an indication of a longer term shift in travel behavior?
The project integrates multi-dimensional human perception data, collected using physiological sensors, with refined street-level built environment data, extracted using the latest computer vision techniques, to systematically understand how e-scooter riders and active travelers perceive the built environment and identify factors that influence travel satisfaction.
New modes of transportation have the potential to provide better access for all, including people with limitations due to age, physical fitness levels, or disabilities. The secret ingredient is to provide a safe street space that is welcoming to all users.
Bloustein School Dean James W. Hughes and the "Plainfield School District Travel Plan," written by a Bloustein School graduate planning studio, are recipients of 2017 Smart Growth Planning Awards, presented by New Jersey Future. The awards will be presented at the...