Adaptive traffic signal systems can extend green lights along the busiest commuter corridors, cutting average commute times across a city grid. But every extra second of green time on the main corridor is a second of red for cross-traffic and pedestrians on quieter streets.
The AI Smart City Lab models a 4×3 grid of 12 intersections during rush hour. Sliding adaptive-timing aggressiveness up shortens the modeled average vehicle commute time while lengthening pedestrian wait times at intersections along the priority corridor.
What makes this a genuinely political trade-off, not just a technical one, is that "average commute time" and "pedestrian wait time" represent different groups of people — drivers on the main corridor benefit while pedestrians and cross-street traffic absorb the cost, which is why cities usually cap how aggressive adaptive timing is allowed to get.
🧪 Try it yourself: the AI Smart City Lab simulation lets you move the adaptive-timing aggressiveness and watch the rush-hour outcome update live.
🧪 Try it yourself: the AI Smart City Lab simulation lets you experiment with everything described above directly in your browser.