Traffic Count
Quantify Footfall. Understand Flow. Optimise Space.
Get accurate, real-time data on pedestrian and vehicle traffic patterns to support location decisions, staffing optimisation, and marketing planning.
Traffic count research is the systematic measurement and analysis of pedestrian and vehicle flow at specific locations. Whether you are evaluating a potential retail site, optimising staffing schedules, measuring the impact of a marketing campaign, or understanding customer journey patterns, accurate traffic data provides the quantitative foundation for informed decision-making.
At Mansfield, we combine traditional manual counting methods with advanced technology—including AI-powered video analytics and sensor-based systems—to deliver precise, reliable traffic data. Our approach goes beyond raw numbers; we analyse temporal patterns, demographic composition, directional flow, and behavioural context to give you actionable insights.
Our Traffic Count Solutions
We offer a range of traffic count solutions tailored to your specific needs:
Video-Based Traffic Counting
AI-powered analysis of video footage to count and classify pedestrians and vehicles.
Manual Traffic Counting
Trained observers conduct on-site counts using structured protocols.
In-Store Traffic Analytics
Measure and analyse customer movement within retail environments.
Street & Public Space Counts
Measure footfall in public areas, commercial districts, and transit hubs.
Common Applications
Traffic count data supports a wide range of business decisions:
Site Selection & Lease Negotiation
Validate footfall claims and compare potential locations quantitatively.
Staffing Optimisation
Align staff schedules with peak traffic periods to improve service and reduce costs.
Marketing ROI Measurement
Measure traffic uplift before, during, and after campaigns or promotions.
Layout & Design Decisions
Use flow patterns and heat maps to optimise store layout and product placement.
Safety & Compliance
Monitor crowd density for safety compliance and emergency planning.
Our Traffic Count Process
Objective & Scope Definition
We define what needs to be measured, where, and for how long. Clarify research objectives, identify count locations, determine duration, and select the appropriate technology.
Equipment Setup & Calibration
We install and test all counting equipment. Camera positioning, sensor installation, calibration against manual counts, and data transmission setup.
Data Collection
We conduct counting over the agreed period. Continuous or interval-based counting with real-time monitoring, weather logging, and daily validation checks.
Analysis & Reporting
We analyse the data to reveal patterns and insights. Hourly, daily, and weekly traffic profiles, peak pattern identification, directional flow analysis, and benchmarking.
Frequently Asked Questions
How accurate is video-based traffic counting?
Our AI-powered systems achieve 95–98% accuracy under typical conditions. Accuracy depends on camera positioning, lighting, and crowd density. We calibrate all systems against manual counts to validate performance.
Can you count in outdoor environments?
Yes. Our systems work both indoors and outdoors. For outdoor counts, we use weather-resistant cameras and account for environmental factors such as rain, lighting changes, and seasonal variations.
How long should counting periods be?
For reliable patterns, we recommend minimum 2 weeks of continuous counting, covering both weekdays and weekends. For seasonal businesses, month-long counts may be appropriate.
Can you distinguish between different types of people?
Yes. Our AI systems can classify by approximate age group, gender, and group size (individual, couple, family). Manual counts can also capture additional observations.
How quickly can you deploy?
For manual counts, we can deploy within 3–5 business days. For video-based systems, setup typically takes 5–7 business days depending on site access requirements.