traffic-simulation-engine
Traffic simulation skill for microsimulation, level of service, and signal optimization
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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/traffic-simulation-engine/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How traffic-simulation-engine Compares
| Feature / Agent | traffic-simulation-engine | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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 animationsRelated Skills
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