Experiencing the Efficiencies from Cloud-Based ATSPMs
Using continuous, high-resolution probe data to populate the Automated Traffic Signal Performance Measures (ATSPMs) are more cost effective, flexible, and scalable compared to detector-based data in detecting deficiencies of signalized intersections. It is time to add them to your signal management toolbox!
Our Solution
Holistic KPIS for Intersections
- Turning Movement Counts (TMC)
- Control and stop delay
- Arrival on Green (AOG)
- Split failure
- Level of Service
- Downstream blockage
Holistic KPIs for Corridors
- Travel time
- Speed
- Number of stops
- Delay
- Queue length
- Bottleneck locations
- Travel time reliability
Advanced Visualization
- Time-space diagrams
- Color-Coded Level of Service (LOS) charts
- Speed heatmaps and queue lengths for intersections and corridors
Our Difference
Highest Accuracy and Detail
- Data is collected per car, not based on the location(s) of each passenger in the car. Therefore, there is no mistaking passengers for vehicles (No “double counting”)
- The vehicle position data can pinpoint to the lane level
Unparalleled Visibility and Scalability
- Visibility into complete travel routes, not just detector-monitored spot performance
- The vehicle position data can pinpoint to the lane level
One Price. Unlimited Metrics
- Work on as many projects as you need simultaneously within your select zones
High-Resolution Connected Car Trajectory Data: The Future of ATSPMs?
How Much Sample is Enough?
Get the minimum sample size you need for estimating traffic metrics.
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iNode™ + Sensors
