home / skills / a5c-ai / babysitter / traffic-simulation-engine
This skill analyzes traffic with microsimulation, LOS calculations, and signal timing optimization to support intersection design and future condition
npx playbooks add skill a5c-ai/babysitter --skill traffic-simulation-engineReview the files below or copy the command above to add this skill to your agents.
---
name: traffic-simulation-engine
description: Traffic simulation skill for microsimulation, level of service, and signal optimization
allowed-tools:
- Read
- Write
- Glob
- Grep
- Edit
- Bash
metadata:
specialization: civil-engineering
domain: science
category: Transportation Analysis
skill-id: CIV-SK-019
---
# 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
This skill performs detailed traffic analysis for microsimulation, level-of-service (HCM), and signal timing optimization. It produces actionable outputs such as LOS summaries, delay and queue estimates, and simulation animations to support design and operational decisions. The skill is designed to integrate into project workflows for traffic impact studies and signal design.
The engine ingests traffic counts, network geometry, signal timing, and growth rates to build microsimulation and analytic models. It computes HCM-based LOS, delay, queue lengths, v/c ratios, and generates optimized signal timing plans. Outputs include summaries, detailed reports, and visual simulation runs for validation and stakeholder review.
What inputs are required to run an analysis?
Essential inputs are traffic counts by movement and time period, network geometry, existing signal timing (if any), and assumed growth rates.
Which methodologies does the skill support?
It supports HCM procedures for LOS and analytical measures plus detailed microsimulation for operational and animation outputs.