Signalized corridor studies
Up-to-the-minute data to track performance and pinpoint issues
Uncover the root causes behind corridor congestion
Signalized corridors often suffer from recurring congestion and limited visibility—especially in areas without sensors or cameras. With access to real-time and historical data across the entire network, you can identify bottlenecks, diagnose root causes, and make smarter signals.
Our solutions
Signal and corridor performance measures
- Traffic volumes (TMC and mid-block counts)
- Level of Service (LOS)
- Speeds and travel times
- Control delay and stopped delay
- Arrival on Green (AOG) percentage
- Split failure rate
Issue identification and diagnosis
- Detect bottlenecks, downstream blockage, and queue spillback
- Diagnose root causes of congestion, such as inefficient signal timings or poor coordination
.png){kind=icon}
Self-serve, customizable dashboards
- Live corridor performance maps
- Scenario comparison tools (e.g., before-and-after signal retiming) using historical data
- Configurable alerts and notifications for congestion thresholds or performance anomalies
Our Difference
Access to data where big data is unavailable
- Ad hoc event locations
- Intersections
- Highway ramps
- Corridors
- Work zones
Highest Sample Size
Whether sensor or crowdsourced based, our data captures the highest sample size amongst all other comparable data sources.
Cost Effective
Whether you need to buy or rent sensors for a study or need data plan for managing congestion in ad hoc locations, we have an option that gives you the most data and insights for your budget.
Great companies trust SMATS, your partner in smarter, data-driven mobility
.jpg)
Book a demo
