The article explores an innovative project aimed at using artificial intelligence (AI) to improve the response times of fire trucks and ambulances in New York City. By analyzing traffic patterns and potential obstacles, such as protected bicycle and bus lanes or outdoor dining sheds, the Fire Department hopes to identify faster routes for emergency vehicles. The project is spearheaded by the C2SMARTER consortium, which plans to create a “digital twin” of a 30-block area in Harlem to simulate and analyze traffic conditions and emergency vehicle responses. This initiative reflects the growing intersection of technology and urban planning in enhancing public safety and infrastructure efficiency, especially critical in densely populated areas where every second counts in emergency situations.

https://www.nytimes.com/2024/01/26/nyregion/newyorktoday/firefighters-traffic-data-nyc.html