Processes and events in the center: a taxi trajectory-based approach to detecting traffic congestion and analyzing its causes
作者机构：Key Laboratory of Poyang Lake Wetland and Watershed ResearchMinistry of EducationJiangxi Normal UniversityNanchangPeople’s Republic of China School of Geography and EnvironmentJiangxi Normal UniversityNanchangPeople’s Republic of China Department of Geoinformatics–Z_GISUniversity of SalzburgSalzburgAustria School of GeographyNanjing Normal UniversityNanjingPeople’s Republic of China
出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)
年 卷 期：2023年第16卷第1期
页 面：509-531页
核心收录：
学科分类：070904[理学-构造地质学] 0709[理学-地质学] 07[理学]
基 金：supported by National Natural Science Foundation of China[grant number 42071364 and 41631175]
主 题：VGE Spatio-temporal dynamics geographic processes traffic congestion trajectory
摘 要：A novel approach is introduced for the detection of the location and direction of traffic congestion using GPS data from *** approach uses a dynamic model that conceptualizes events,processes,and *** states are the locations of the taxis,the processes are the motion of taxis,and the events are *** model is implemented as a graph database,which represents the relationships between states,events,processes,and things(such as points of interest and road grid).Algorithms for constructing and updating the relationships and taxi behaviors dynamic retrieval method in Neo4j are presented and are used to demonstrate the capabilities in dynamic expression and *** implementation of Shanghai in 2015finally demonstrated the ability of congestion direction detection and the cause searching of traffic congestion.
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