Design and Research of Intelligent Traffic Light Control System

With the acceleration of urbanization and the surge in the number of motor vehicles, traditional traffic signal control systems face bottlenecks such as low traffic efficiency, high energy consumption, and insufficient incident response service. To solve these problems, this paper designs and implements a system for intelligent traffic signal control based on the STM32 microcontroller. The system adopts a modular architecture, uses STM32 as the core controller, and integrates multi-sensor fusion and intelligent strategies to achieve dynamic traffic management. This system significantly improves traffic efficiency and energy utilization at intersections and also has the ability to provide fire incident response service and real-time monitoring of equipment status. In the future, the stability of the system in extreme scenarios can be further improved by integrating multi-source detection technology. The research results provide theoretical and practical reference for the optimization and promotion of intelligent transportation systems.

Authors

Institutions

Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/icaisisas64483.2025.11051381
Primary Topic
Simulation and Modeling Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Research of Intelligent Traffic Light Control System

Jiaxin Jin, Aili Li, Zhou Jinyu, Jiayue Zhou et al.
Simulation and Modeling Applications
article

Design and Research of Intelligent Traffic Light Control System

Jiaxin Jin, Aili Li, Zhou Jinyu, Jiayue Zhou, Zhengyang Tan
article en

Abstract

With the acceleration of urbanization and the surge in the number of motor vehicles, traditional traffic signal control systems face bottlenecks such as low traffic efficiency, high energy consumption, and insufficient incident response service. To solve these problems, this paper designs and implements a system for intelligent traffic signal control based on the STM32 microcontroller. The system adopts a modular architecture, uses STM32 as the core controller, and integrates multi-sensor fusion and intelligent strategies to achieve dynamic traffic management. This system significantly improves traffic efficiency and energy utilization at intersections and also has the ability to provide fire incident response service and real-time monitoring of equipment status. In the future, the stability of the system in extreme scenarios can be further improved by integrating multi-source detection technology. The research results provide theoretical and practical reference for the optimization and promotion of intelligent transportation systems.

Dalian University of Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 82%
Simulation and Modeling Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.