System for Detecting Urban Areas with High Density of Vehicle Incidents and Issues

被引：0

作者：

Puertas, Enrique ^{[1
]}

Aliane, Nourdine ^{[1
]}

de la Luz Morales-Botello, Maria ^{[1
]}

Fernandez, Javier ^{[1
]}

机构：

[1] Univ Europea Madrid, Dept Informat Automat & Comunicac, Madrid, Spain

来源：

PROCEEDINGS OF THE 2ND INTERNATIONAL SYMPOSIUM ON COMPUTER, COMMUNICATION, CONTROL AND AUTOMATION | 2013年 / 68卷

关键词：

Data Mining; Event Data Recorder; Black-box; Accident Hotspots; Intelligent Transport Systems; Computer Vision; Road Safety; Traffic; TRACKING;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper presents an on-board perception and pre-collision system, aimed at detecting traffic risky situations in urban areas, as well as trying to avoid collision with other traffic participant deploying automatic braking and/or evasive steering maneuver. Information related to the detected risky situations is recorded in a vehicles' local database. Local data are then transferred later into a global database that can be exploited for finding out remarkable traffic hotspots. This analysis is aimed at analyzing risky situation patterns, optimize resource allocation, and improve emergency call responses.

引用

页码：431 / 434

页数：4

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