Robotics & Machine Learning Daily News2024,Issue(Oct.28) :1-2.

Machine learning analysis sheds light on who benefits from protected bike lanes

Robotics & Machine Learning Daily News2024,Issue(Oct.28) :1-2.

Machine learning analysis sheds light on who benefits from protected bike lanes

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new analysis from University of Toro nto Engineering researchers leverages machine learning to help answer a thorny q uestion: where should new protected bike lanes be placed to provide maximum bene fit? “Right now, some people have really good access to protected biking infrastructure: they can bike to work, to the grocery store or to entertainment venues,” says Madeleine Bonsma-Fisher, a postdoctoral fellow in the Department of Civil & Mineral Engineering and lead author of a new paper published in the Journal of Transport Geography.

Key words

Cyborgs/Emerging Technologies/Engineering/Machine Learning/University of Toronto Faculty of Applied Science & Engineering

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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