Streaming Driving Behavior Data

被引：0
|
作者：
Basalamah, Anas [1 ,2 ]
Aurangzeb, Muhammad [3 ]
Elidrisi, Mohamed [3 ]
Basalamah, Saleh [1 ,2 ]
Mokbel, Mohamed [3 ]
机构：
[1] Umm Al Qura Univ, Dept Comp Engn, Mecca, Saudi Arabia
[2] Umm Al Qura Univ, KACST TIC GeoInformat, Mecca, Saudi Arabia
[3] Dept Comp Sci & Engn, Minneapolis, MN 55455 USA
来源：
PROCEEDINGS OF THE ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON GEOSTREAMING (IWGS) 2012 | 2012年
关键词：
Sensor Networks; Driving Behavior; Stream Data;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
People's driving behavior patterns have significant effects on the modern transportation systems. Public safety, traffic congestions, driving convenience are all affected by the driver's behaviors on the road. With the recent developments in data communications, streaming and mining technologies, developing driving behavior monitoring systems that can stream driving behavioral patterns, discover and predict traffic violations can be made possible. In this paper, we describe our vision towards the realization of such technologies from the view points of data steaming and analysis.
引用
收藏
页码：116 / 119
页数：4
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