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基于群采的交通堵塞检测

Traffic Jams detection using flock mining
课程网址: http://videolectures.net/ecmlpkdd2011_trasarti_detection/  
主讲教师: Roberto Trasarti
开课单位: 国家研究委员会
开课时间: 2011-10-03
课程语种: 英语
中文简介:
GPS装置在汽车上的广泛使用使得能够收集车辆的时间相关位置,并因此收集它们在道路网络上的运动。可以分析如此庞大的数据集合以查找交通流量的关键情况。对交通拥堵的离线分析对城市交通管理者来说是一项具有挑战性的任务。交通规划者可以使用这种分析来预测交通拥堵的未来区域,或改善城市中特定景点的可达性。许多交通系统采用特殊传感器,如摄像头,感应环,磁传感器来监控交通流量的状态:这些系统的安装和维护非常昂贵,并且它们仅限于对安装它们的道路弧进行本地监控。相反,使用GPS数据来检查交通状况需要较低的安装成本(安装在车辆上的一部分),并且它能够实际监控整个道路网络。
课程简介: The widespread use of GPS devices on cars enables the collection of time-dependent positions of vehicles and, hence, of their movements on the road network. It is possible to analyze such huge collection of data to look for critical situation on the traffic flow. The offline analysis of traffic congestions represents a challenging task for urban mobility managers. This kind of analysis can be used by the traffic planner to predict future areas of traffic congestions, or to improve the accessibility to specific attraction points in a city.Many traffic systems adopt ad-hoc sensors like cameras, induction loops, magnetic sensors to monitor the status of the traffic flows: these systems are very expensive for installation and maintenance, and they are restricted to the local monitoring of the road arcs where they are installed. On the contrary, the use of GPS data to check the traffic conditions requires low installation costs (a part for the installation on the vehicle) and it enables to virtually monitoring the entire road network.
关 键 词: 相关位置; 离线分析; 交通规划者
课程来源: 视频讲座网
最后编审: 2019-04-07:cwx
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