基于数据融合的高速公路交通状况检测  

Highway Traffic Condition Detection with Data Fusion

作　　者：崔艳玲[1,2] 金蓓弘[1,2] 张扶桑[1,2] 

机构地区：[1]中国科学院软件研究所计算机科学国家重点实验室,北京100190 [2]中国科学院大学,北京100190

出　　处：《计算机学报》2017年第8期1798-1812,共15页Chinese Journal of Computers

基　　金：国家自然科学基金(61472408);交通运输部项目(2015315Q16080)资助~~

摘　　要：物联网的普及使得数据感知和共享变得迅速、便捷,充分挖掘和利用这些数据成为当前物联网研究的热点.就高速公路交通状况检测而言,有效使用收集到的数据需要应对两个挑战:一是单一感知数据内在的稀疏性;二是检测需求的多目标性.为了高精度、低成本、全路段、准实时地检测高速公路交通状况,该文依托移动通信网的信令数据,结合车辆检测器数据,提出了一种数据融合方法即Megrez方法.Megrez方法不仅挖掘了感知数据的内在特性以重构缺失数据,而且在对重构数据进行纠偏时融入了交通流的特征.由于该方法以非介入方式判定交通状况,因此,能以极低成本实现高速公路全路段的路况检测,同时,在并行线性代数库支持下实现的Megrez方法能在指定时间片内完成对车速的估计.该文基于大量真实数据从不同角度对Megrez方法进行了评估,实验结果表明Megrez方法估计的车速具有较高的准确性,能准确检测高速公路的交通状况.With the popularity of Internet of Things（IoT）,sensing and sharing various data become rapid and easy,which promotes the shift of the research hot spot to data mining and exploiting.For effectively utilizing the collected data to detect highway traffic flows,two challenges must be dealt with.One is the sparsity inherent in the sensory data of a single kind,and the other is the multiple goals expected by the detecting requirements.In order to detect traffic conditions of entire highways in a high-precision,low-cost and quasi real-time way,this paper presents a data fusion approach named Megrez,which takes advantage of the signaling data in a mobile communication network and the data from vehicle detectors.The Megrez approach not only mines the inherent features of the sensory data to reconstruct the missing data,but also incorporates with the characteristics of traffic flows while rectifying the reconstructed data.Since the Megrez approach works in a non-intrusive way,it can carry out the traffic monitoring with full road segment coverage at a very low cost.Meanwhile,with the support from the parallel linear algebra library,the implemented Megrez approach can estimate the vehicle speeds in a designated interval.Using the large-scale real-world data as input,this paper evaluates theMegrez approach from different perspectives.The experimental results show that the vehicle speeds estimated by the Megrez approach have high precision and the Megrez approach can accurately detect the traffic conditions on highways.

关 键 词：物联网 数据融合 交通状况检测 手机信令 压缩感知 信息物理融合系统 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]