DocumentCode :
249502
Title :
GrandLand Traffic Data Processing Platform
Author :
Xingcan Cui ; Zhen Dong ; Liwei Lin ; Renyong Song ; Xiaohui Yu
Author_Institution :
Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
fYear :
2014
fDate :
June 27 2014-July 2 2014
Firstpage :
766
Lastpage :
767
Abstract :
Recent years have seen an increasing number of traffic surveillance cameras deployed on the main roads and intersections of metropolitan areas. For large and ediumsized cities, these cameras generate an enormous amount of data. Existing solutions based relational database systems cannot effectively manage and process such large volume of data, nor can they provide support for efficient and scalable support for either analytical tasks or tasks requiring response in real-time. To address these challenges, we have developed the GrandLand Traffic Data Processing Platform (GLPlatform) to provide distributed, scalable processing of traffic surveillance data.
Keywords :
Big Data; relational databases; traffic engineering computing; GLPlatform; GrandLand traffic data processing platform; distributed scalable processing; solutions based relational database systems; traffic surveillance data; Big data; Educational institutions; Licenses; Real-time systems; Surveillance; Vehicles; Traffic data; big data; data processing systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Big Data (BigData Congress), 2014 IEEE International Congress on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4799-5056-0
Type :
conf
DOI :
10.1109/BigData.Congress.2014.113
Filename :
6906857
Link To Document :
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