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| 基于决策融合的城市道路交通事件自动检测算法研究 | |
| 引用本文： | 周强,郑长江,陈淑燕,愈张啸.基于决策融合的城市道路交通事件自动检测算法研究[J].交通与计算机,2011,29(3):84-88,144. |
| 作者姓名： | 周强 郑长江 陈淑燕 愈张啸 |
| 作者单位： | 1. 广州至信交通顾问有限公司,广州,510030 2. 河海大学土木与交通工程学院,南京,210098 3. 东南大学交通学院,南京,210096 |
| 摘 要： | 为了提高城市道路交通事件自动检测算法的性能,引入算法性能可靠度概念对基于浮动车数据和感应线圈数据的事件自动检测算法检测结果进行决策融合。决策融合算法包括3个模块：①感应线圈数据算法模块：选择流量、占有率、路段长度、前一个检测周期的检测参数作为输入参数,训练BP网络进行事件判别;②浮动车数据算法模块：使用误差分析理论确定满足数据精度要求的最小浮动车样本量,选择路段行程时间、行程速度作为BP网络输入参数,进行事件判别;③决策融合模块。引入算法性能可靠度概念,计算模块一和模块二判别结果的权重值,使用加权平均法进行决策融合。通过Vissim仿真获得数据,在Matlab中编程实现算法的计算,仿真结果表明决策融合算法的性能优于单数据源事件自动检测算法。 |
| 关 键 词： | 智能交通 交通事件检测 决策融合 浮动车 感应线圈 Vissim |
Urban Road Traffic Incident Auto-detecting Based on Decision Fusion |
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| ZHOU Qiang,ZHENG Changjiang,CHEN Shuyan,YU Zhangxiao.Urban Road Traffic Incident Auto-detecting Based on Decision Fusion[J].Computer and Communications,2011,29(3):84-88,144. | |
| Authors: | ZHOU Qiang ZHENG Changjiang CHEN Shuyan YU Zhangxiao |
| Institution: | ZHOU Qiang1 ZHENG Changjiang2 CHEN Shuyan3 YU Zhangxiao2(Guangzhou Zhixin Transportation Consultant CO.,Ltd,Guangzhou 510030,China)1(College of Civil and Transportation Engineering,Hohai University,Nanjing 210098,China)2(School of Transportation,Southeast University,Nanjing 210096,China)3 |
| Abstract: | The objective of this study is to improve the performance of traffic incident detection algorithm on urban road.The concept of algorithm performance reliability is introduced to make decision fusion,which combines the results of the automatic incident detection algorithm based on floating car data and inductive loop detector data.The decision fusion algorithm in this paper includes three modules:1)Detection algorithm module based on inductive loop detector data:volume,occupancy rate,section length and so on... |
| Keywords: | intelligent transportation traffic incident auto-detecting decision fusion floating car inductive loop detectors Vissim |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |