NYC is now using AI at some subway stations to track when and how fare evaders are getting through
The AI's analysis indicated that around 50% of subway evasion comes from people walking in through the emergency exit gates, 20% jump or climb over the turnstile, and 12% duck underneath."It helps us just measure the amount of fare evasion happening," the spokesperson told Insider."It's not alerting any NYPD officers in real time if fare evasion takes place, it's not used to ping an officer and have them go after a person who fare evades.
The new program is certainly more thorough than MTA's existing system for estimating fare evasion, which involves sending out a team of about 10 human checkers across the system to conduct one-hour surveys, making a count of all unpaid entries into the system across that hour. With AWAAIT's AI system, the M.T.A. can now track both the times of day when spikes in fare evasion occur and the different ways fare evaders are entering the transit system, the first time it's had those numbers. In its latest Blue-Ribbon Panel report, the agency says that the biggest spike happens around 3 to 4 p.m., coinciding with school dismissal times, with a smaller spike happening around morning rush hour.
The AI's analysis has also indicated that around 50% of subway evasion comes from people walking in through the emergency exit gates, 20% jump or climb over the turnstile, 12% duck underneath, and around 16% do what the M.T.A. has termed"back-cocking," a method that has recently spread on social media as a"subway hack" that involves pulling the turnstile backwards and slipping through the gap.
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