作　　者： (胡旭峰）;

机构地区： 青岛科技大学自动化与电子工程学院

出　　处： 《青岛科技大学学报（自然科学版）》 2017年第S1期184-188,共5页

摘　　要： 车牌识别数据是一种城市道路行驶车辆的实时监测数据,具有数据量大且持续生成、时间空间相关等特性。针对当前基于车牌识别数据进行智能交通的相关研究较少,本研究利用车牌识别数据进行旅行时间可靠性的研究,首先进行旅行时间数据的获取及处理,然后利用处理后的数据,选取缓冲指数作为旅行时间可靠性主要评价指标,标准差与拥挤频率为辅助指标,对青岛市某路段车辆的旅行时间可靠性进行评价分析,证明了方法的有效性。 License plate recognition data is a kind of real-time monitor date of vehicles driving on the urban road,which has some features such as contiguous and huge amount of data,temporal and spatial correlations and so on.According to the lack of researches on intelligent traffic system based on license plate data at present,this paper do some researches on travel time reliability using license plate recognition data.This paper firstly obtains and processes travel time data,and selects the buffer index as the travel time reliability main index,and the standard deviationa and frequency of congestion as Secondary Indicators based on processed data.A simulation analysis of travel time reliability based on the license plate recognition data of a road in Qingdao is made,and verifies the effectiveness of this algorithm.

关 键 词： 车牌识别 旅行时间 对数正态分布 旅行时间可靠性