Vehicle flow is dynamic and time-sensitive
Arrival and departure patterns fluctuate sharply during peak hours, events, and seasonal shifts.
Without structured entry and exit measurement, traffic patterns cannot be analyzed reliably.
Understand how vehicles move through your facility. Optimize capacity, reduce congestion, and increase revenue with precise occupancy and flow analytics.
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INDUSTRY: PARKING & MOBILITY
Arrival and departure patterns fluctuate sharply during peak hours, events, and seasonal shifts.
Without structured entry and exit measurement, traffic patterns cannot be analyzed reliably.
Total capacity does not reflect real-time availability.
Without calibrated occupancy measurement per level or zone, utilization rates become inaccurate.
Bottlenecks develop at entry gates, payment stations, and exit barriers.
Without structured queue and wait-time measurement, congestion reduces throughput and increases user frustration.
Parking performance depends on how frequently spaces are reused.
Without accurate duration and turnover metrics, pricing and capacity decisions rely on assumptions.
Payment systems, license plate recognition, and occupancy counts often operate independently.
Without synchronized reporting and normalization, revenue per space and utilization cannot be benchmarked reliably.
Efficient parking operations require standardized measurement of vehicle flow, occupancy, turnover, and congestion across time and zones.
Standardized measurement of vehicle movement, occupancy, congestion, and utilization performance — comparable across facilities and time periods.
Verified counts of vehicles entering and leaving defined access points.
Directional vehicle movement within parking structures or lots.
Real-time vehicle presence within defined zones or floors.
Measured time vehicles remain within the facility.
Measured waiting conditions at entry barriers, payment stations, or exits.
Detected instances where predefined occupancy limits are exceeded.
Number of vehicles using a space within defined time intervals.
Revenue generated per parking space (when integrated with payment systems).
Normalized comparison across parking facilities and time periods.
In parking, measurement is about separating capacity, turnover, and occupancy—and making in/out and zones comparable across entrances, levels, and time windows.
Parking data becomes decision-grade when in/out passes are precise and defined consistently across all entrances.
To understand occupancy and flow, the facility must be structured into meaningful zones: levels, areas, premium, staff, EV, and reserved.
Effective management requires robust occupancy and turnover calculations, and the ability to compare peaks vs baseline across days.
Parking has edge cases: gate faults, service vehicles, events, and temporary closures. These must be handled explicitly.
Trusted by operators for over 30 years, CountMatters turns vehicle movement into data-driven strategies that improve throughput, reduce friction, and enhance customer satisfaction.
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For over 30 years, CountMatters has helped parking operators transform vehicle movement into smarter pricing, smoother operations, and higher revenue per space.