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AI-driven method to reduce traffic delays and improve road safety

Summary by TechXplore
Dr. Abolfazl Karimpour, Assistant Professor of Transportation Engineering at SUNY Poly, has developed an innovative framework that estimates the length and duration of traffic queues and delays caused by crashes, without relying on physical roadside sensors. Dr. Karimpour is lead author of the new article published in Case Studies on Transport Policy.

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AI-driven method to reduce traffic delays and improve road safety

Dr. Abolfazl Karimpour, Assistant Professor of Transportation Engineering at SUNY Poly, has developed an innovative framework that estimates the length and duration of traffic queues and delays caused by crashes, without relying on physical roadside sensors. Dr. Karimpour is lead author of the new article published in Case Studies on Transport Policy.

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TechXplore broke the news in on Friday, August 15, 2025.
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