The Traffic Flow Analytics feature evaluates circulation efficiency and highlights potential bottlenecks in your floor plans. This helps you understand how effectively employees can move between key areas like workspaces, entrances, and fire escapes.
Key Metrics Explained
Circulation Efficiency (CE): Measures how well the layout supports traffic flow by evaluating the length and directness of pathways between destinations.
Directness Factor (DF)
Compares the actual pathway length to the optimal straight-line distance (Euclidean distance).
Higher values indicate more efficient routes.
Turn Factor (TF)
Evaluates the number of turns along the shortest path to a destination.
A higher number of turns reduces movement efficiency.
Dead Ends
Counts the number of pathways that terminate without connecting to key destinations.
Fewer dead ends indicate better circulation.
Congestion Score (CS)
Aggregates traffic flow metrics (DF, TF, and dead ends) to create an overall score.
Lower congestion scores signify smoother traffic flow.
Assumptions and Considerations
Static Peak Occupancy: Assumes all pathways operate at maximum capacity during peak usage, such as morning arrivals or emergency evacuations.
Equal Weight for Corridors: All circulation paths are treated equally, without distinguishing primary from secondary corridors.
Turns Impact Efficiency: Each turn along a path reduces its efficiency, and this effect is normalized across layouts of varying sizes.
Nearest Destination Movement: Employees are assumed to use the shortest available path to reach destinations like workspaces or fire escapes.
No Real-Time Data: Traffic flow analysis does not consider real-time movement or variability in employee behavior.
Visual Representations
Heatmaps: Highlight areas of congestion:
Warm colors (e.g., red/orange) indicate high-traffic or congested zones.
Cool colors (e.g., blue/green) signify low-traffic areas.
Scenarios include:
Employee arrival patterns.
Fire escape evacuations.
Why These Metrics Matter
These insights enable you to:
Understand bottlenecks in high-traffic areas.
Understand movement patterns.