MTA is using AI to track fare evasion at seven stations across NYC

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The agency estimates it lost $690 million to fare evasion last year.

The MTA says it has been using artificial intelligence to help monitor fare evasion in several subway stations across New York City.The MTA is using artificial intelligence to help monitor fare evasion in several subway stations across New York City.by the MTA, confirms that AI was used at seven stations across the city in May to track unpaid entries. Officials are using that data to compare the figures to paid fares.

According to the report, more than 50% of subway evasion consists of people walking in through the emergency gate. That figure is followed by 20% that jump or climb over the turnstile, 16% of those that slip through the gaps and 12% that duck under the turnstile. The report says the largest spike of evasions typically takes place between 3 and 4 p.m., with smaller spikes occurring during the morning rush.The MTA expects the surveillance technology to be "expanded this year to approximately two dozen more stations," according to the report.subway and bus fare hikes on Wednesday, prompting the first increase since 2019 and the first in the base subway and base fare since 2015.

 

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