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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Yulong Wang, Kun Qin, Yixiang Chen, Pengxiang Zhao
التنسيق: مقال
اللغة:English
منشور في: MDPI AG 2018-01-01
سلاسل:ISPRS International Journal of Geo-Information
الموضوعات:
trajectory clustering
trajectory anomalies
edit distance
hierarchical clustering
anomalous behavior pattern
الوصول للمادة أونلاين:http://www.mdpi.com/2220-9964/7/1/25

الانترنت

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

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