
AI Technologies for Transportation Featured in TR News
AI technologies have fueled advances in autonomous driving and intelligent transportation systems, for example, enabling the public in Phoenix, San Francisco, and other cities to hail a self-driving taxi from their smartphone apps. Transportation professionals also are tapping computer-vision technologies to manage transportation assets, collect traffic data, and dynamically adjust traffic signals. Despite such promising developments, many who work in transportation continue to see AI as a theoretical concept.
"Artificial Intelligence Frontiers in Transportation," by Bo Wang, David Reinke, and Yinhai Wang, highlights several successful transportation applications as well as the challenges and risks of implementing them. In addition, a few suggestions are offered on how to successfully apply AI technology in transportation. The article appears free online from the January-March 2024 edition (Issue 348) of TR News, TRB's quarterly magazine.
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From other related TRB resources, TRB Volunteer Yinhai Wang talks more about AI for asset management.
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