文章编号：1672-5328（2009）06-0076-05

林瑜1，高霄1，沈峰1，杨中良2
（1.上海电科智能系统股份有限公司，上海200063；2.上海市市政工程管理处，上海200051）

摘要：为满足社会公众对实时交 通状态信息发布服务的需求，对城 市快速路交通状态自动判别解决 方案的关键技术进行研究。在总 结已有研究成果的基础上，对快速 路交通状态判别指标、判别标准及 空间对象进行分析，选取平均行程 车速作为快速路交通状态的判别 指标。设计了交通状态自动判别 软件构架，对平均行程车速实时估 计算法模块进行了详细分析。基 于研究成果开发的快速路交通状 态自动判别系统软件已经应用于 上海市快速路监控中心。对软件 的实际运行效果进行评估，结果表 明，道路交通状态判别平均精度达 到95%以上。

关键词：智能交通系统；交通状态； 解决方案；城市快速路

中图分类号：U491.2+6

文献标识码：A

Scenarios to Automatically Identify Traffic Situations for Urban Expressways

LIN Yu1, GAO Xiao1, SHEN Feng1, YANG Zhong-liang2
(1.SEARI Intelligent System Co., Ltd., Shanghai 200063, China; 2.Shanghai Municipal Engineering Administration Department, Shanghai 200051, China)

Abstract：To meet the public needs in real-time traffic information, this paper conducts a study on key technologies in automatic identification of traffic situations on urban expressways. Based on a summary of existing findings, the paper analyzes indicators, criteria, and spatial factors that can be used to identify traffic situations for urban expressways, as a result, the average travel speed is chosen as the indicator. Then the paper presents a software framework for automatic identification of traffic situations, along with detailed analysis on real- time calculation module for average travel speed estimation. Software developed based on the study has been applied in Shanghai Expressway Monitoring Center to automatically identify traffic situations for urban expressways. A review of the real-time application of the software shows that the average accuracy is above 95% compared with traffic situations in the real world.

Keywords：intelligent transportation systems; traffic situations; scenarios; urban expressways