Bayonet-corpus:a trajectory prediction method based on bayonet context and bidirectional GRU

作     者：Mengyang Huang Menggang Zhu Yunpeng Xiao Yanbing Liu Mengyang Huang;Menggang Zhu;Yunpeng Xiao;Yanbing Liu

作者机构：School of Computer Science and TechnologyChongqing University of Posts and TeleconvnunicationsChongqing400065China 

出 版 物：《Digital Communications and Networks》 (数字通信与网络（英文版）)

年 卷 期：2021年第7卷第1期

页      面：72-81页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 081001[工学-通信与信息系统] 

基　　金：This research is partially supported by the National Natural Science Foundation of China(Grant No.61772098) Science and Technology Research Program of Chongqing Municipal Education Commission(Grant No.KJZD K201900603,KJQN201900629) Chongqing Grad-uate Education Teaching Reform Project(No.yjg183081) 

主　　题：Trajectory prediction Bayonet-corpus Traffic network modeling Bidirectional gated recurrent unit 

摘      要：Predicting travel trajectory of vehicles can not only provide personalized services to users,but also have a certain effect on traffic guidance and traffic *** this paper,we build a Bayonet-Corpus based on the context of traffic intersections,and use it to model a traffic ***,Bidirectional Gated Recurrent Unit(Bi-GRU)is used to predict the sequence of traffic intersections in one single ***,considering that real traffic networks are usually complex and disorder and cannot reflect the higher dimensional relationship among traffic intersections,this paper proposes a new traffic network modeling algorithm based on the context of traffic intersections:inspired by the probabilistic language model,a Bayonet-Corpus is constructed from traffic intersections in real trajectory sequence,so the high-dimensional similarity between corpus nodes can be used to measure the semantic relation of real traffic *** algorithm maps vehicle trajectory nodes into a high-dimensional space vector,blocking complex structure of real traffic network and reconstructing the traffic network ***,the bayonets sequence in real traffic network is mapped into a *** the trajectories sequence is bidirectional,and Bi-GRU can handle information from forward and backward simultaneously,we use Bi-GRU to bidirectionally model the trajectory matrix for the purpose of prediction.