If you change the timing of a traffic light from 20 seconds to 30 seconds, a new artificial intelligence tool developed by Johns Hopkins University researchers can predict how many more — or how many fewer — accidents will happen at that intersection.
“These are complex events affected by numerous variables, like weather, traffic patterns, roadway design and driver behavior,” said senior author Hao “Frank” Yang, an assistant professor of civil and systems engineering at Johns Hopkins. “With SafeTraffic Copilot, our goal is to simplify this complexity and provide infrastructure designers and policymakers with data-based insights to mitigate crashes.”
“Generative AI has a big potential to improve the trustworthiness of accident prediction,” he continued.
Yang’s team of researchers hopes t