---
title: "A Smart Traffic Light Control System"
url: "https://maker.wiznet.io/gunn/projects/a-smart-traffic-light-control-system/"
markdown_url: "https://maker.wiznet.io/gunn/projects/a-smart-traffic-light-control-system/md"
type: "UCC: User Created Content"
author: "Huu Q. Tran"
author_url: "https://www.dl.begellhouse.com/references/52b74bd3689ab10b,forthcoming,59776.html"
editor: "WIZnet"
editor_url: "https://maker.wiznet.io/"
original_author: "Huu Q. Tran"
original_url: "https://www.dl.begellhouse.com/references/52b74bd3689ab10b,forthcoming,59776.html"
published: "2025-12-03"
language: "en"
tags: ["smart traffic", "AIoT"]
hardware: ["WIZnet W5500"]
likes: 0
views: 341
comments: 0
source: "WIZnet Makers (https://maker.wiznet.io/)"
---

# A Smart Traffic Light Control System

> A Smart Traffic Light Control System

Original author: Huu Q. Tran (source: https://www.dl.begellhouse.com/references/52b74bd3689ab10b,forthcoming,59776.html)

## Components

- **WIZnet W5500** x 1 ([docs](https://docs.wiznet.io/Product/Chip/Ethernet/W5500))

WIZnet parts: W5500 ([Datasheet](https://docs.wiznet.io/Product/Chip/Ethernet/W5500/datasheet?utm_source=maker&utm_medium=project&utm_campaign=w5500), [product hub](https://maker.wiznet.io/products/w5500/))

## Article

The rapid urbanization and exponential growth in vehicular traffic have significantly strained traditional traffic management systems, which rely on static control mechanisms like fixed-timer traffic lights. These systems often result in inefficient traffic flow, increased congestion, higher fuel consumption, and elevated carbon emissions. To address these challenges, this paper presents a comprehensive smart traffic light system developed using the Raspberry Pi Pico as the core controller. The proposed system integrates multiple technologies, including sensor integration, real-time vehicle detection, network connectivity through the W5500 Ethernet module, and a user-friendly GUI built with PyQt5. The system achieves a 95% accuracy rate in detecting vehicles and offers flexible operation in both Auto and Manual modes. By leveraging IoT, artificial intelligence (AI), and edge computing, the system ensures seamless communication, real-time decision-making, and efficient traffic management. This work contributes to the ongoing efforts in modernizing urban traffic management and discusses future enhancements, such as incorporating predictive traffic algorithms and expanding system scalability, to further optimize traffic flow and reduce congestion.

=================

Raspberry Pi Pico + W5500으로 만든 실시간 차량 감지 스마트 신호등 시스템

### **문제점 (Problem)**

```plaintext
전통적 교통 신호 시스템의 한계:
├─ 고정 타이머 방식 (상황 대응 불가)
├─ 비효율적 교통 흐름
├─ 교통 체증 증가
├─ 연료 소비 증가
└─ 탄소 배출 증가
```

### **해결책 (Solution)**

```plaintext
Raspberry Pi Pico 기반 스마트 신호등 시스템
 핵심 구성:
├─ 컨트롤러: Raspberry Pi Pico
├─ 네트워크: W5500 Ethernet 모듈 
├─ 센서: 실시간 차량 감지
├─ GUI: PyQt5 기반 사용자 인터페이스
└─ 기술: IoT + AI + 엣지 컴퓨팅
```

## 시스템 아키텍처

```plaintext
센서 (차량 감지)
    ↓
Raspberry Pi Pico (AI 처리)
    ↓
W5500 Ethernet 모듈 (네트워크 연결)
    ↓
중앙 서버 / GUI (PyQt5)
    ↓
교통 신호 제어
```

---

## 주요 기여

1. **하드웨어 통합**: Raspberry Pi Pico + W5500 = 저비용 고효율

2. **실시간 처리**: 엣지 컴퓨팅으로 즉각 대응

3. **높은 정확도**: 95% 차량 감지

4. **유연성**: Auto/Manual 모드 전환

## WIZnet W5500의 역할

```plaintext
W5500 Ethernet 모듈:
├─ Raspberry Pi Pico에 유선 네트워크 제공
├─ 안정적인 실시간 통신 (WiFi보다 안정적)
├─ 하드웨어 TCP/IP 스택 (CPU 부담 감소)
└─ IoT 백본 역할
```

**왜 W5500인가?**

- WiFi 불안정성 제거 (교통 관제는 24/7 안정성 필수)

- 저지연 통신 (실시간 신호 제어)

- 저전력 (엣지 디바이스에 최적)

AIoT 의 활용

### **차량 감지 (Vehicle Detection) **

| 방법 | 가능성 | 설명 |
| --- | --- | --- |
| **컴퓨터 비전 (CV)** | ⭐⭐⭐⭐⭐ | 카메라 + 이미지 인식 |
| **센서 퓨전** | ⭐⭐⭐⭐☆ | 초음파/레이더 + 알고리즘 |
| **TinyML 모델** | ⭐⭐⭐☆☆ | 경량화된 ML 모델 |

---

Source: https://maker.wiznet.io/gunn/projects/a-smart-traffic-light-control-system/