Redesigning City Transit Through Real-Time Pedestrian Analytics
Rush-hour congestion at transit hubs had become a defining frustration for commuters in one of the country's fastest-growing metro networks. In 2026, municipal planners partnered with a mobility analytics team to deploy a city-wide, anonymized pedestrian flow platform, one that turned foot traffic into a live signal for redesigning walkways, entrances, and signage before congestion ever became gridlock.
The Challenge
Six metro stations were bottlenecking during peak hours, but planners had no reliable way to see where pedestrians were actually backing up. Manual counts were sparse and quickly outdated, and walkway redesigns were being made on intuition rather than evidence, often missing the exact chokepoints commuters experienced every day.
Our Approach
- Deployed anonymized movement sensors across six metro stations to build a live picture of pedestrian density and flow.
- Modeled congestion patterns by time of day to identify recurring chokepoints at entrances, turnstiles, and platform transitions.
- Worked with station architects to redesign walkway geometry and signage using the flow data as ground truth.
Key Results
- 34% reduction in congestion at transit hubs after walkway redesigns.
- Six metro stations redesigned using anonymized movement data.
- Faster, evidence-based approval cycles for future station upgrades.
With chokepoints now visible in near real time, the transit authority has moved from reactive crowd-control measures to planned infrastructure changes, and is extending the platform to additional stations ahead of next year's ridership growth.
