2026-05-01T11:41:33Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4719 2021-12-13T02:25:06Z 1582963302567:1597824273898 user-ucsy

Vehicle Trajectory Analysis by Clustering Khaing, Hnin Su Thein, Thandar With widespread availability of low cost GPSdevices, it is becoming possible to record data about themoving objects on a large scale. The analysis of movingobjects trajectory data is a critical component in a widerange of research and decision-making fields. Toanalyze the object movement regularities and anomalies,trajectory clustering plays an important role intrajectory mining. Trajectory clustering provides newand helpful information such as Jam detection andsignificant location recognition. In this paper, we focuson vehicle movement trajectory data and analyze todiscover the various significant locations. We propose aK-means based clustering algorithm to mine thetrajectory data for extracting the important information.The truck trajectory dataset of Athens is used in theproposed approach as an illustrative example. The resultof clustering is visualized with the help of Google Maps. 2012-02-28 http://hdl.handle.net/20.500.12678/0000004719 https://meral.edu.mm/records/4719