基于声音识别的智能交通信号控制系统设计
Design of an Intelligent Traffic Signal Control System Based on Sound Recognition
杨梅1
作者信息
- 1. 昭通职业学院,云南 昭通 657000
- 折叠
摘要
针对日益严峻的城市交通拥堵问题,提出一种基于声音识别技术的智能交通信号控制系统.该系统通过语音识别模块、信号控制逻辑处理模块以及执行与反馈模块的有机协同,实现了对车辆和行人语音指令的实时识别与信号灯配时的动态优化.在某交叉路口的实际应用中,相比传统定时控制与感应式控制,该系统在平均延误时间、平均停车次数以及平均车速等关键指标上均取得了显著改善.
Abstract
This paper proposes an innovative intelligent traffic signal control system using voice recognition technology to address urban traffic congestion.The system includes a voice recognition module,a signal control logic module,and an execution and feedback module.It recognizes voice commands from vehicles and pedestrians in real-time and optimizes signal timing dynamically.Practical application at a specific intersection showed significant improvements in average delay time,average stops,and average speed compared to traditional fixed-time and inductive control systems.
关键词
声音识别/智能交通/信号控制/强化学习Key words
voice recognition/intelligent traffic/signal control/reinforcement learning引用本文复制引用
出版年
2024
NETL
NSTL
万方数据