Life Safety Analysis

Pathfinder is a powerful and flexible evacuation modeling tool designed to support life-safety designers in meeting regulatory requirements with confidence. From detailed scenario development to advanced analysis tools, Pathfinder helps engineers simulate realistic occupant movement and assess egress performance under a wide range of conditions. Features like SFPE Mode ensure alignment with established engineering methodologies, while built-in Verification and Validation resources support code compliance and stakeholder confidence. For probabilistic analysis, Monte Carlo simulation capabilities allow users to explore variability in occupant behavior and initial conditions. With configurable outputs in CSV and JSON formats, and scripting APIs for both simulation control and post-processing, Pathfinder provides the precision, adaptability, and transparency needed to support life-safety decisions in complex building designs.

Scenarios

Full life safety analysis is a priority for Pathfinder users; with Scenarios, consider the full range of threats to wellbeing in your projects. For some emergencies, occupants could change their behavior to shelter in place.

Stay organized with UI features that are easy to learn and scalable. There are no hard-coded limits to the number of scenarios.

SFPE Mode

The SFPE mode uses the set of assumptions presented in the SFPE Engineering Guide to Human Behavior in Fire (2019) and can give answers extremely similar to these hand calculations. In this simulation mode, the mechanism that controls simulation movement is the door queue; doors impose a flow limit and velocity is controlled by density.

The density-velocity function is known as the SFPE Fundamental Diagram.

See how it Compares

See our tutorial that compares NFPA 130, SFPE, and Pathfinder.

See the Tutorial

Verification and Validation

We validate and publish our own tests of Pathfinder against research data to boost your confidence in the model's validity. Run our test suite or create your own automated model suitability suite using our advanced Results scripting analysis toolkit.

Monte Carlo

Pathfinder's Monte Carlo feature enables the user to efficiently consider the simulation result variance as caused by randomized inputs to a deterministic model. This might be useful for testing the sensitivity to initial conditions (starting position, profile parameter assignment, etc.) and/or to help with validation of distributions (normal, uniform, log-normal, etc.) used for input parameters.

When running multiple scenarios or Monte Carlo variations, several files are created which provide combined results across all variations.

Robust output options

Pathfinder's output options are tailored to support designers, offering both flexibility and precision in post-simulation analysis. Whether you're validating egress times, occupant flow, or density thresholds, Pathfinder provides detailed results in easily exportable CSV and JSON formats. These formats are ideal for integration into compliance reports, custom dashboards, or further analysis using external tools like Excel, Python, or Power BI. Output configurations can be tailored to match the specific needs of your simulation, allowing users to track key metrics such as travel time, queueing behavior, and route utilization for any occupant or group. This level of customization ensures that life-safety designers get the exact data they need to demonstrate code compliance, support AHJ (Authority Having Jurisdiction) review, or optimize design decisions with confidence.

Advanced Scripting

Pathfinder offers powerful flexibility for life-safety designers through its robust scripting APIs, enabling customized control and advanced analysis at every stage of a project. Within the Pathfinder interface, the JavaScript-based Simulator API allows users to script behaviors, triggers, and occupant logic directly into the simulation, ideal for modeling complex scenarios or testing specific life-safety conditions. For post-simulation analysis, the Results Scripting API supports Python scripting, making it easy to automate the processing of output data, generate custom visualizations, or extract key performance indicators for compliance documentation. Together, these scripting tools empower users to tailor simulations to their unique regulatory requirements and design goals, streamlining both scenario development and results interpretation.