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| 基于浮动车数据的交通事件参数特性研究 | |
| 引用本文： | 张孜,林晓丽,林思. 基于浮动车数据的交通事件参数特性研究[J]. 交通与计算机, 2011, 29(3): 94-98 |
| 作者姓名： | 张孜 林晓丽 林思 |
| 作者单位： | 1. 广州市交通委员会,广州510000;广州交通信息化建设投资营运有限公司,广州510000 2. 广州市海珠区交通管理总站,广州,510000 3. 广州交通信息化建设投资营运有限公司,广州,510000 |
| 基金项目： | 2008年广东省现代信息服务业发展专项资金扶持项目(批准号:GDIID2008IS018)资助 |
| 摘 要： | 利用微观交通仿真软件Vissim搭建交通事件环境,对在不同堵塞程度和不同交通流量的交通事件情况下,浮动车采集的浮动车速、行程时间、浮动车位置等移动检测交通参数变化特性进行了分析比较,总结出交通事件情况下的浮动车移动检测各交通参数变化规律,并以此为基础对模式识别法、统计预测法、时间序列和智能算法等4种基于浮动车数据的交通事件检测算法进行了探讨,具有覆盖面广、成本低等特点。 |
| 关 键 词： | 智能交通系统 事件检测 模式识别 浮动车 移动检测 |
Traffic Parameter Features in Traffic Incidents Based on Probe-car Data |
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| ZHANG Zi,LIN Xiaoli,LIN Si. Traffic Parameter Features in Traffic Incidents Based on Probe-car Data[J]. Computer and Communications, 2011, 29(3): 94-98 | |
| Authors: | ZHANG Zi LIN Xiaoli LIN Si |
| Affiliation: | ZHANG Zi1,3 LIN Xiaoli2 LIN Si3(Guangzhou Transportation Commission,Guangzhou 510000,China)1(Transportation Management General Station of Haizhu District,China)2(Guangzhou Transportation Information Construction Investment and Operation Co.,Ltd,China)3 |
| Abstract: | Existing traffic incident detection methods are mostly based on analyzing the traffic parameter characteristics including volume,velocity and occupation,and on using fixed traffic detector,which are limited by the costs and position.In order to obtain the solutions of this problem,this paper analyzes and compares the probe-car traffic parameter features including velocity,travel time and probe car position,in various traffic incidents based on micro traffic simulation software Vissim,and gets the regulation... |
| Keywords: | intelligent transportation systems traffic incident detection pattern distinguishing probe-car moving detector |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |