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基于多源数据的城市道路交通事件检测
引用本文:徐涛,徐爱功,胡超魁,张明月.基于多源数据的城市道路交通事件检测[J].测绘科学,2011,36(6):91-94.
作者姓名:徐涛  徐爱功  胡超魁  张明月
作者单位:1. 辽宁工程技术大学测绘与地理科学学院,辽宁阜新123000;同济大学智能交通运输系统(ITS)研究中心,上海200092
2. 辽宁工程技术大学测绘与地理科学学院,辽宁阜新,123000
基金项目:国家高技术研究发展计划(863计划)(2008AA11Z205)
摘    要:针对交通事件自动检测多以高速公路、城市快速路为对象以及使用数据源单一的现状,本文提出一种基于多源数据融合的城市道路交通事件检测方法.在对信号控制下交通事件引起的交通流变化进行分析的基础上,利用杭州市城区浮动车,SCATS、Citilog、OD系统提供的实时交通数据,基于CUSUM算法构建差分流量和速度交通事件检测模型....

关 键 词:智能交通系统  交通事件检测  数据融合  城市道路  差分流量

Urban road traffic incident detection based on multiple data
XU Tao,XU Ai-gong,HU Chao-kui,ZHANG Ming-yue.Urban road traffic incident detection based on multiple data[J].Science of Surveying and Mapping,2011,36(6):91-94.
Authors:XU Tao  XU Ai-gong  HU Chao-kui  ZHANG Ming-yue
Institution:①(①School of Geomatics,Liaoning Technical University,Liaoning Fuxin 123000,China;②ITS Research Center,Tongji University,Shanghai 200092,China)
Abstract:According to the fact that researches of automatic incident detection mainly focus on freeway and expressway,and data resource is usually single,this paper brought forward an approach of urban road AID(Automatic Incident Detection) based on multiple data fusion technology.This paper analyzed the change of traffic flow caused by incident under traffic signal control,after preprocessing the data from floating car,SCATS,and Citilog systems in Hangzhou City,and the paper then built differential flow rate and average velocity AID model based on the CUSUM algorithm which can suppress the periodic influence on traffic flow.The system of AID consists of two modes including video judgment and traffic parameters analysis and three indexes which comprise differential flow rate,average velocity and travel time.The experimental results showed that during peak hours and non-peak hours,the model could detect traffic incidents rapidly and accurately.
Keywords:ITS  traffic event detection  data fusion  urban road  differential flow rate
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