DocumentCode :
177231
Title :
A Data Platform for the Highway Traffic Data
Author :
Mian, Rizwan ; Ghanbari, Hamoun ; Zareian, Saeed ; Shtern, Mark ; Litoiu, Marin
Author_Institution :
Sch. of Inf. Technol., York Univ., Toronto, ON, Canada
fYear :
2014
fDate :
29-29 Sept. 2014
Firstpage :
47
Lastpage :
52
Abstract :
Both short and long term information of the transportation network is needed by commuters and planners. In order to obtain this information, there is a pressing need to consolidate, mine and analyze data collected from multiple sources. To enable these activities under a single umbrella, we propose a data platform in this position paper that transforms data into information. Finally, we discuss the research challenges facing our platform.
Keywords :
data handling; road traffic; data consolidation; data mining; data platform; highway traffic data; multiple sources; transportation network; Big data; Data mining; Engines; Indexes; Road transportation; Sensors; Big Data; Data Management; Hadoop; Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Maintenance and Evolution of Service-Oriented and Cloud-Based Systems (MESOCA), 2014 IEEE 8th International Symposium on the
Conference_Location :
Victoria, BC
Type :
conf
DOI :
10.1109/MESOCA.2014.14
Filename :
6976610
Link To Document :
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