TY - GEN
T1 - Streaming driving behavior data
AU - Basalamah, Anas
AU - Ahmad, Muhammad Aurangzeb
AU - Elidrisi, Mohamed
AU - Basalamah, Saleh
AU - Mokbel, Mohamed
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - driving behavior
KW - sensor networks
KW - stream data
UR - http://www.scopus.com/inward/record.url?scp=84875198359&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84875198359&partnerID=8YFLogxK
U2 - 10.1145/2442968.2442983
DO - 10.1145/2442968.2442983
M3 - Conference contribution
AN - SCOPUS:84875198359
SN - 9781450316958
T3 - Proceedings of the ACM SIGSPATIAL International Workshop on GeoStreaming, IWGS 2012
SP - 116
EP - 119
BT - Proceedings of the ACM SIGSPATIAL International Workshop on GeoStreaming, IWGS 2012
T2 - 3rd ACM SIGSPATIAL International Workshop on GeoStreaming, IWGS 2012
Y2 - 6 November 2012 through 6 November 2012
ER -