Individual skill
evo-adaptive-cruise-control
Complete Adaptive Cruise Control simulation system with PID controllers, single-loop ACC architecture (cruise/follow/emergency modes), TTC safety, Euler integration simulation, and full I/O pipeline.
tasks-evolved/adaptive-cruise-control/environment/skills/evo-adaptive-cruise-control/SKILL.md
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- Last checked
- Nov 6, 2026
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- Repository last updated
- Sep 10, 2026
- License
- Apache-2.0
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- agent-skills Repository topic
- ai-agents Repository topic
- llm-agents Repository topic
- open-world Repository topic
- self-evolving-agents Repository topic
- engineering Derived category
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SKILL.mdcore · 4,175 bytesSKILL.mdcore · 4,175 bytesSKILL.mdcore · 4,175 bytesSKILL.mdcore · 4,175 bytesSKILL.mdcore · 4,175 bytesscripts/acc_system.pyruns · 7,771 bytesscripts/pid_controller.pyruns · 3,539 bytesscripts/simulation.pyruns · 9,789 bytesscripts/tuning.pyruns · 1,160 bytes
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# evo-adaptive-cruise-control
## Overview
A unified ACC simulation skill combining:
1. **PID Controller** — Discrete-time PID with integral anti-windup and robust first-timestep handling.
2. **ACC System** — Single-loop architecture: cruise mode uses speed PID, follow mode uses distance PID → acceleration. Three modes: cruise, follow, emergency. TTC-based safety override.
3. **Simulation Runner** — 1501-step Euler integration loop, sensor_data.csv / vehicle_params.yaml ingestion, tuning_results.yaml loading, simulation_results.csv output (with proper NaN→empty handling), and acc_report.md generation.
4. **Tuning** — Pre-tuned PID gains for speed and distance control.
## Quick Start
```bash
# 1. Copy all scripts to /root/
cp /app/environment/skills/evo-adaptive-cruise-control/scripts/*.py /root/