traffic-simulation-engine
SolidTraffic simulation skill for microsimulation, level of service, and signal optimization
AI & Automation 1,160 stars
71 forks Updated today MIT
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Skill Content
# 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
Details
- Author
- a5c-ai
- Repository
- a5c-ai/babysitter
- Created
- 4 months ago
- Last Updated
- today
- Language
- JavaScript
- License
- MIT
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