基于车牌自动识别数据的车辆OD轨迹还原  

Vehicle OD Trajectory Restoration Based on Automatic License Plate Recognition Data

作　　者：王杰 范晓武 何逸昕 陶峰 WANG Jie;FAN Xiao-Wu;HE Yi-Xin;TAO Feng(Zhejiang Comprehensive Transportation Big Data Center Co.Ltd.,Hangzhou 310005,China)

机构地区：[1]浙江综合交通大数据中心有限公司,杭州310005

出　　处：《计算机系统应用》2022年第7期247-252,共6页Computer Systems & Applications

基　　金：浙江省交通运输厅科技计划(2020058)。

摘　　要：交通信息采集设备捕获的车牌数据是研究车辆出行轨迹的天然载体,可用于追踪、还原车辆在路网的完整出行轨迹.但是,受技术与设备覆盖等限制,采集的时序车牌数据总是呈现出稀疏不完整的性质.为充分利用车牌数据,研究并提出一种基于稀疏车牌数据的OD轨迹还原算法.该算法首先以间隔时间阈值分离车辆的OD出行链.然后基于K则最短路径算法(KSP)生成多个近似的候选轨迹.最后,采用变分自编码器(VAE)选择决策最优估计轨迹,以获取车辆完整出行轨迹.该方法已在杭州市萧山区实际交通小区进行实施验证.结果显示,所提出的还原算法在测试小区可达95%的综合准确率.此外,在节点缺失率高、摄像点位覆盖率低的情况下,重构算法依然具备良好的性能(高于50%).The license plate data captured by a traffic information collection device is a natural carrier for studying the trajectory of a vehicle and is useful to track and restore the complete trajectory of the vehicle on the road network.However,due to the limitations of technology and device coverage,the collected time series data of license plates is inevitably sparse and incomplete.To make full use of license plate data,this study proposes an origin-destination(OD)trajectory restoration algorithm based on sparse license plate data.The algorithm first separates the OD trip chain of the vehicle by the interval time threshold.Then,it generates multiple approximate candidate trajectories with the K-shortest path(KSP)algorithm.Finally,a variational autoencoder(VAE)is used to select the optimal estimated trajectory for decision-making so that the complete trajectory of the vehicle can be obtained.This method has been implemented and verified in an actual transportation analysis zone in Xiaoshan District,Hangzhou City.The results show that the proposed method achieves a comprehensive accuracy of 95%.Additionally,the reconstruction method still has sound performance(higher than 50%)in the case of a high node loss rate and low camera coverage.

关 键 词：OD分析 车辆行驶轨迹 稀疏车牌数据 轨迹还原 工业互联网 深度学习 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP391.41[自动化与计算机技术—控制科学与工程] U491[交通运输工程—交通运输规划与管理]