traffic-simulation-engine
Traffic simulation skill for microsimulation, level of service, and signal optimization
Profile →npx skills add a5c-ai/babysitter --skill traffic-simulation-engine --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 -
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Configuration
- Output Artifacts
What does the traffic-simulation-engine skill do?
Traffic simulation skill for microsimulation, level of service, and signal optimization
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill traffic-simulation-engine --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.