基于历史行车轨迹集的车辆行为可视分析方法  

Historical Driving Track Set Based Visual Vehicle Behavior Analytic Method

作　　者：罗月童[1] 汪涛[1] 杨梦男 张延孔 LUO Yue-tong;WANG Tao;YANG Meng-nan;ZHANG Yan-kong(School of Computer Science and Information Engineering,Hefei University of Technology,Hefei 230601,China)

机构地区：[1]合肥工业大学计算机与信息学院,合肥230601

出　　处：《计算机科学》2021年第9期86-94,共9页Computer Science

基　　金：国家自然科学基金(61602146);国家重点研发计划(2017YFB1402200);安徽省科技攻关计划(1604d0802009)

摘　　要：随着智慧城市的不断发展,基于交通卡口自动获取车辆行车轨迹,为基于轨迹的车辆行为分析奠定了基础。但是,因为卡口的位置固定,车辆轨迹表示为卡口序列,所以文中首先将卡口和轨迹分别映射为单词和句子,应用语句的语义相似性方法计算轨迹相似性;然后在轨迹相似性的基础上提出轨迹熵,用轨迹熵度量某个车辆所有轨迹的规律性;最后基于轨迹熵分析车辆的行为特征,如轨迹熵低的车辆意味着行车特别有规律,很可能是通勤车。为便于用户进行深入分析,文中进一步提供了包含多联动视图的可视分析系统,允许用户观察和比较车辆轨迹和轨迹熵,结合聚类分析和相关交互,帮助用户发现有意义的车辆行为,如上下班的通勤车的轨迹熵较低、游街模式的出租车轨迹熵很高。对昆明市2019年2月份的卡口数据集进行了分析,结果表明所提方法能有效发现不同轨迹熵区间内的车辆出行行为及其特点,证明了所提方法的有效性。With the continuous development of smart city,vehicle track can be acquired automatically based on traffic bayonet,which lays a foundation for vehicle behavior analysis based on track.However,since the bayonet position is fixed,the vehicle tra-jectory is expressed as bayonet sequence.Therefore,the bayonet and trajectory are first mapped into words and sentences respectively,and the semantic similarity method is used to calculate the trajectory similarity.Then,based on the similarity of tracks,track entropy is proposed to measure the regularity of all tracks of a vehicle.Finally,the trajectory entropy is used to analyze the behavioral characteristics of vehicles.For example,vehicles with low trajectory entropy mean that the driving is particularly regular,which is likely to be commuter vehicles.To facilitate users in-depth analysis,this paper further provides a visual analysis system with more linkage view,which allows the user to compare the vehicle trajectory entropy,and combines clustering analysis and related interaction,to help users find meaningful vehicle behavior,such as commuting a commuter has a low trajectory entropy,following the model of taxi path entropy is very high.By analyzing the bayonet data set of Kunming city in February 2019,the vehicle travel behavior and its characteristics in different trajectory entropy intervals can be found effectively,which proves the effectiveness of the proposed method.

关 键 词：行车轨迹 轨迹熵 语义相似性 聚类 可视分析 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]