Detecting Anomalous Trajectories and Behavior Patterns Using Hierarchical Clustering from Taxi GPS Data

Detecting Anomalous Trajectories and Behavior Patterns Using Hierarchical Clustering from Taxi GPS Data

Anomalous taxi trajectories are those chosen by a small number of drivers that are different from the regular choices of other drivers. These anomalous driving trajectories provide us an opportunity to extract driver or passenger behaviors and monitor adverse urban traffic events. Because various tr...

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Bibliographic Details
Main Authors: Yulong Wang, Kun Qin, Yixiang Chen, Pengxiang Zhao
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:ISPRS International Journal of Geo-Information
Subjects:
trajectory clustering
trajectory anomalies
edit distance
hierarchical clustering
anomalous behavior pattern
Online Access:http://www.mdpi.com/2220-9964/7/1/25

Internet

http://www.mdpi.com/2220-9964/7/1/25

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