| 道路交通状态识别技术研究 |
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| 引用本文： | 张雷元,袁建华,赵永进.道路交通状态识别技术研究[J].道路交通与安全,2009(2):29-32,36. |
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| 作者姓名： | 张雷元 袁建华 赵永进 |
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| 作者单位： | 公安部交通管理科学研究所,无锡214151 |
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| 基金项目： | 国家高技术研究发展计划(863计划)现代交通技术领域综合交通运输系统与安全技术专题,课题“新一代智能化交通控制系统技术”(2006AA11Z229) |
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| 摘 要： | 交通拥堵和突发事件已成为困扰当前城市交通的2大难题，重点讲述了如何识别交通状态，提出了1种基于模糊推理的交通拥堵等级评判算法和1种基于双变量模型的交通事件识别算法。经过验证，这2种算法可达到较好的交通状态识别效果。
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| 关 键 词： | 交通状态 模糊推理 交通事件 双变量模型 |
Road traffic state recognition technology research |
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| Zhang Leiyuan,Yuan Jianhua,Zhao Yongjin.Road traffic state recognition technology research[J].Road Traffic & Safety,2009(2):29-32,36. |
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| Authors: | Zhang Leiyuan Yuan Jianhua Zhao Yongjin |
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| Institution: | Zhang Leiyuan,Yuan Jianhua,Zhao Yongjin(Traffic Management Research Institute Of Public Security Ministry,Wuxi 214151) |
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| Abstract: | Traffic congestion and unexpected events have become two major problems of the current urban traffic,this paper describes how to identify traffic state,brings forward a traffic congestion evaluation algorithm based on fuzzy reasoning and a traffic incident detection algorithm based on two-variable model,and concludes that these two algorithms can achieve good result of traffic state recognition after algorithm verification. |
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| Keywords: | traffic state fuzzy reasoning traffic incident two-variable model |
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