电子学报2016，Vol.44Issue(5)：1227-1233,7.DOI:10.3969/j.issn.0372-2112.2016.05.031
海量车牌识别数据集上基于时空划分的旅行时间计算方法
A Travel Time Calculation Method Based on Spatio-Temporal Data Partition of Large-Scale License Plate Recognition Data Set
摘要
Abstract
The calculation of travel time of city roads is an important issue in the domain of the intelligent transporta-tion system research.License plate recognition data is one kind of monitoring data for vehicles running on urban roads,which has some new features,such as high volume,high velocity and spatio-temporal correlation.In order to achieve travel time calculations on massive license plate recognition data collection,we present the formal definition of travel time calculation based on license plate recognition data set,and propose a pipelined parallel computing model based on spatio-temporal data partition.Moreover,the implementation of the computing model is given based on a real-time MapReduce computing sys-tem.The corresponding experiments based on real license plate recognition data set show that,the computing performance on million-level data sets of our method can achieve three times increasing compared to traditional travel time calculation meth-ods.Meanwhile our method is more suitable for fine-grained partition and large scale traffic network.关键词
旅行时间/时空划分/流水线并行/实时 MapReduce/车牌识别数据Key words
travel time/spatio-temporal partition/parallel pipeline/real-time mapreduce/large-scale license plate rec-ognition data分类
信息技术与安全科学引用本文复制引用
赵卓峰,丁维龙,张帅..海量车牌识别数据集上基于时空划分的旅行时间计算方法[J].电子学报,2016,44(5):1227-1233,7.基金项目
北京市自然科学基金（No．4131001，No．4162021）；北京市属高等学校创新团队建设项目（No．IDHT20130502）；北方工业大学校科研基金 （）
