Inferring Drivers Behavior through Trajectory Analysis

被引:20
作者
Carboni, Eduardo M. [1 ]
Bogorny, Vania [1 ]
机构
[1] Univ Fed Santa Catarina INE UFSC, Florianopolis, SC, Brazil
来源
INTELLIGENT SYSTEMS'2014, VOL 1: MATHEMATICAL FOUNDATIONS, THEORY, ANALYSES | 2015年 / 322卷
关键词
trajectory data mining; abnormal trajectories; trajectory behavior; driver classification; abrupt movements;
D O I
10.1007/978-3-319-11313-5_73
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Several works have been proposed for both collective and individual trajectory behavior discovery, as flocks, outliers, avoidance, chasing, etc. In this paper we are especially interested in abnormal behaviors of individual trajectories of drivers, and present an algorithm for finding anomalous movements and categorizing levels of driving behavior. Experiments with real trajectory data show that the method correctly finds driving anomalies.
引用
收藏
页码:837 / 848
页数:12
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