Ped-network-model coder-Python Model Testing Tool

Example

Creating custom pedestrian agents that simulate realistic movement patterns in a train station.

Scenario

A transportation authority seeks to redesign station layouts to minimize congestion. Ped-network-model coder helps developers define pedestrian agents and their interactions with the station environment to simulate the flow and identify potential design flaws.

Example

Using Pytest for test automation to verify the accuracy of agent behavior and environment interaction.

Scenario

Developers are testing new agent attributes, such as varying speed based on age groups, in an environment like a stadium. Automated testing ensures these modifications result in realistic, predictable pedestrian movement patterns.

Example

Employing Mypy to ensure strict type checking during development.

Scenario

A modeler wants to refine pedestrian agent classes to incorporate additional health and physical fitness attributes. Using Mypy helps guarantee strong typing across new and existing attributes to reduce runtime errors and simplify debugging.

Example

Integrating Poetry to manage Python dependencies.

Scenario

A team of developers collaborates on a large-scale pedestrian flow project that requires consistent dependency management across multiple environments. Poetry ensures seamless installation and updates of required libraries for the project.