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基于数据融合的城市道路交通事件自动检测
引用本文:徐涛,刘好德,杨晓光,张明月.基于数据融合的城市道路交通事件自动检测[J].交通与计算机,2010,28(4):108-111.
作者姓名:徐涛  刘好德  杨晓光  张明月
作者单位:[1]辽宁工程技术大学,辽宁阜新123000 [2]同济大学交通运输学院智能交通运输系统研究中心,上海200092 [3]上海济祥智能交通科技有限公司,上海200292
基金项目:国家高技术研究发展计划(863计划)项目
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,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。该模型可以有效抑制交通信号对于交通流的周期性影响。实验表明,模型在高峰时段和平峰时段均能快速准确检测交通事件。

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

Automatic Traffic Incident Detection for Urban Roads Based on Data Fusion
XU Tao,LIU Haode,YANG Xiaoguang,ZHANG Mingyue.Automatic Traffic Incident Detection for Urban Roads Based on Data Fusion[J].Computer and Communications,2010,28(4):108-111.
Authors:XU Tao  LIU Haode  YANG Xiaoguang  ZHANG Mingyue
Institution:(Liaoning Technical University,Fuxin 123000,Liaoning,China)1(ITS Research Center,School of Transportation Engineering,Tongji University,Shanghai 200092,China)2(Shanghai Jixiang Intelligent Transportation Technology CO.,LTD,Shanghai 200092,China)3
Abstract:Traditional automatic traffic incident detections(ATID) mainly focus on freeway and expressway,and use single data resource,such as loop data.In this regard,this paper proposes an approach for ATIS on urban roads based on multiple data fusion technology.This paper analyzes the change of traffic flow caused by incidents under traffic signal control.On the basis of the data from floating car,SCATS,and Citilog systems in Hangzhou City,an ATID model uses the CUSUM algorithm to calculate differential flow rates and speeds.The model can effectively suppress the periodic impact from traffic signals on traffic flows.The experimental results show that,during both peak hours and non-peak hours,the proposed model can detect traffic incidents more rapidly and accurately.
Keywords:ITS  event detection  data fusion  urban road  differential flow rate
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