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AI-Assisted Traffic Signal Control for Midtown Manhattan

Accountable
Department of Transportation (DOT)
Functional Modes
Deciding (Analytical AI)
Human decides
Purpose
Mobility
Input Dataset
About a measurement Anonymized data
Algorithm or Model
Classification & Prediction
Output Dataset
A recommendation or prediction Anonymized data

This system measures traffic congestion in midtown Manhattan using sensor data, classifies congestion levels, and recommends optimal traffic signal timing to reduce gridlock on major avenues. It operates continuously and affects all road users — drivers, cyclists, and pedestrians — in the area between 34th and 57th Streets. No personal identifying information is collected; the system works entirely from vehicle travel-time measurements. Signal timing recommendations are monitored by city staff before being applied.

Sources for this disclosure

This disclosure was drafted with AI assistance.

Schema: ai@2026-05-06-beta