城市交通信号灯故障报警与修复时长数据集

本数据集聚焦城市交通信号灯故障报警与修复时长监测，覆盖黑灯、常红、常绿、相位错乱等全类型故障及系统自动报警、市民报警、巡检发现等多源报警渠道。数据内容包括故障信息、报警信息、修复过程（响应时长、修复时长）、超时判断、路口影响及时间维度等。适用于运维效率评估、故障规律挖掘、运维资源配置优化、报警机制优化评估及智慧交通AI模型训练等场景

This dataset focuses on the monitoring of urban traffic signal fault alarms and repair durations. It covers all types of faults including blackout (out-of-service), stuck red light, stuck green light, and phase misalignment, as well as multi-source alarm channels such as system automatic alarms, citizen-reported alarms, and alarms discovered through routine inspections. The dataset contains fault information, alarm information, repair processes (response duration and repair duration), timeout judgment, intersection impact, and time dimension-related data. It is applicable to scenarios such as operation and maintenance efficiency evaluation, fault pattern mining, optimization of operation and maintenance resource allocation, evaluation of alarm mechanism optimization, and training of intelligent transportation AI models.

搜集汇总

背景与挑战

背景概述

该数据集专注于城市交通信号灯的故障报警与修复时长监测，涵盖了黑灯、常红、常绿等全类型故障以及系统自动、市民报警等多源报警渠道。数据内容包括故障信息、报警信息、修复过程、超时判断和路口影响等维度，适用于运维效率评估、故障规律挖掘、资源配置优化及智慧交通AI模型训练等多种应用场景。