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

页码：837 / 848

页数：12

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