Traffic Simulation Engine Skill

SkillDev tools

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

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Traffic Simulation Engine Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/civil-engineering/skills/traffic-simulation-engine/SKILL.md and read by ahel’s review.

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

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

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
traffic-simulation-engine
Source
github.com/a5c-ai/babysitter