traffic-simulation-engine

Traffic simulation skill for microsimulation, level of service, and signal optimization

509 stars

Best use case

traffic-simulation-engine is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Traffic simulation skill for microsimulation, level of service, and signal optimization

Teams using traffic-simulation-engine should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/traffic-simulation-engine/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/civil-engineering/skills/traffic-simulation-engine/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/traffic-simulation-engine/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How traffic-simulation-engine Compares

Feature / Agenttraffic-simulation-engineStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Traffic simulation skill for microsimulation, level of service, and signal optimization

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Traffic Simulation Engine Skill

## Purpose

The Traffic Simulation Engine Skill performs traffic analysis including microsimulation, level of service calculation per HCM methodology, and signal timing optimization.

## Capabilities

- Microsimulation modeling
- Level of service calculation (HCM methodology)
- Queue length estimation
- Delay analysis
- Signal timing optimization
- Trip generation calculation
- Capacity analysis
- Intersection performance

## Usage Guidelines

### When to Use
- Analyzing traffic impacts
- Evaluating intersection operations
- Optimizing signal timing
- Projecting future conditions

### Prerequisites
- Traffic count data available
- Network geometry defined
- Signal timing known
- Growth rates established

### Best Practices
- Validate model with counts
- Use appropriate peak periods
- Consider multiple scenarios
- Document assumptions

## Process Integration

This skill integrates with:
- Traffic Impact Analysis
- Intersection Signal Design

## Configuration

```yaml
traffic-simulation-engine:
  analysis-types:
    - intersection
    - corridor
    - network
  methodologies:
    - HCM
    - microsimulation
  metrics:
    - LOS
    - delay
    - queue
    - v/c
```

## Output Artifacts

- LOS summaries
- Delay calculations
- Queue length reports
- Simulation animations

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