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3:00 pm
Proactive Safety Management Empowered by Big Data
In the last few decades, data-driven methods have been used to assist with key tasks of road safety management like hotspot identification, countermeasure development, and before-after evaluation. These methods have traditionally relied heavily on historical crash data for safety assessment, which can take a long time to collect. Professor Kun Xie will share a more proactive and time-efficient approach based on surrogate safety measures (SSMs), which can assess safety by capturing the more frequent “near-crash” situations.
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