Optimal Crowd predicts pedestrian flow with the precision of physics and the speed of the cloud. Design safer spaces, smarter.
Before the simulation starts, Optimal Crowd solves a navigation field for your entire space — computing the geodesically optimal route from every cell to every exit, accounting for walls, obstacles, and real-time density.
Paths curve naturally away from obstacles. No agents hugging walls or cutting corners.
The engine finds the exact point where two competing routes diverge and splits the crowd intelligently at that boundary.
Agents reroute based on where congestion will be — not just where it is now.
Agents navigate a continuous geodesic field. Every path is mathematically optimal for your exact layout — not an approximation of one.
The engine looks 3 seconds ahead. Agents reroute before the bottleneck forms, not after your space is already packed.
Every run is stored, quantified, and exportable. Your safety case has a verifiable paper trail built in from the first timestep.
Optimal Crowd is a cloud platform for simulating and analyzing pedestrian dynamics. Design your space, define flows, and run physics-accurate simulations — entirely in the browser.
Design multi-room layouts with obstacles, spawn zones, and exit targets directly in your browser. No CAD software required.
Watch agents populate your space and stream live density maps, flow rates, and bottleneck indicators as the simulation runs.
Our SmartFlow engine predicts where crowds will concentrate and reroutes agents accordingly — before congestion develops.
Organize projects by team, share layouts across rooms, and run multiple scenarios in parallel inside your organization's workspace.
Every agent in our simulations obeys the same physical laws that govern real pedestrian dynamics — derived from decades of academic research.
Global pathfinding solved as a geodesic problem on a continuous field. Agents follow mathematically optimal, wall-aware paths — not waypoints or heuristics.
Each agent exerts and responds to repulsive forces from walls and neighbors. Speed-dependent body geometry and anisotropic interactions produce crowd behavior that matches empirical observation.
Our proprietary layer detects cut-locus boundaries in the navigation field and applies density prediction so agents reroute based on where congestion will be, not just where it is.
Simulate standard occupancy or full evacuation panic — both grounded in published behavioral research.
Normal occupancy. Free-flow walking speeds (Weidmann 1993), natural spacing, congestion-aware rerouting.
Emergency evacuation. Elevated speeds, compressed reaction times, herding behavior — modeled on Helbing et al. (2000) escape-panic dynamics.
From the first timestep to the last agent cleared, Optimal Crowd streams and stores a full set of quantified metrics — ready for export, review, or regulatory submission.
Maximum pedestrian density reached anywhere in the space. The international safety threshold is 2 ped/m² — tracked continuously, not just at snapshot intervals.
Mean walking speed across all agents at every timestep. Drops sharply in congested zones — a leading indicator of crowd stress before density peaks.
Total floor area above the 2 ped/m² danger threshold. Tracked across the entire run to surface which zones accumulate risk over time.
Time from simulation start to the last agent cleared. The primary metric for safety compliance and regulatory submissions worldwide.
Throughput per exit point. Identify underperforming gates, narrow corridors, and inefficient routing — before construction begins.
Every completed simulation is saved for later replay and scenario comparison. Build an evidence library across design iterations.
Validate entry and exit strategies before opening day. Identify queue bottlenecks, optimize gate placement, and stress-test emergency scenarios.
Model pedestrian flow through stations, terminals, and concourses at peak capacity. Design infrastructure that scales with real demand.
Simulate occupancy during the design phase. Verify corridor widths, exit placement, and evacuation routes before a single brick is laid.
Generate evidence-grade simulation runs for regulatory submissions. Demonstrate evacuation feasibility with quantified KPIs and timestamped results.
Use the browser-based editor to draw rooms, place obstacles, and define pedestrian zones — spawn points, targets, and linked flows across connected areas.
Set pedestrian volumes, urgency levels, and simulation mode. Hit run. The engine computes navigation fields and launches agents. Results stream live to your browser.
Review density heatmaps, flow rates, peak congestion zones, and evacuation timelines. Export results. Iterate on your design with confidence.
We're onboarding early partners. Tell us about your space, and we'll set up a demo tailored to your use case.
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