"In New York City, speeding contributes to roughly one in three traffic deaths, with crashes killing more than 1,000 New Yorkers across the state in 2024 alone. These aren't just numbers; they represent mothers, brothers, friends and futures cut short. We know speeding is preventable - and as college freshmen at the Stevens Institute for Technology and rising data scientists and software engineers, we wanted to find a way for our skills to help prevent tragedy."
"In December, we joined - and won - a "hack-a-thon" dedicated to using data in the fight for safe streets, organized by Data Science for Social Good, BetaNYC, Families for Safe Streets and Transportation Alternatives. We wanted to answer a critical question: how do we slow down the worst-of-the-worst repeat speeders? The Stop Super Speeders bill (S.4045/A.2299) requires the most reckless super speeders - those with 16 or more speed safety camera tickets, or who have accrued 11 or more points on their license related to speed -"
Speeding contributes to roughly one in three traffic deaths in New York City and was involved in over 1,000 statewide deaths in 2024. Many victims are family members and friends whose futures were cut short. Speeding is a preventable cause of crashes and deaths. A proposed Stop Super Speeders law would require repeat reckless speeders to install speed limiters similar to ignition interlock devices used for drunk driving. Data about repeat speeders exists across many disparate datasets. Data tools can organize scattered records to identify and slow the worst repeat speeders using targeted technology.
Read at Streetsblog
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