DocumentCode
1602924
Title
Adaptive traffic signal control system with cloud computing based online learning
Author
Prasad, Dilip K.
Author_Institution
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear
2011
Firstpage
1
Lastpage
5
Abstract
We present an extended architecture for adaptive traffic signal control system with online learning feature. The presented architecture is modified to incorporate the advantages of cloud computing such that the resultant architecture has high accuracy, online learning capability, scalability, robustness, and real time performance.
Keywords
cloud computing; image processing; learning (artificial intelligence); road traffic control; adaptive traffic signal control system; cloud computing; online learning capability; online learning feature; Adaptive systems; Cloud computing; Computer architecture; Control systems; Machine learning; Servers; Vehicles; cloud computing; image processing; online learning; traffic signal;
fLanguage
English
Publisher
ieee
Conference_Titel
Information, Communications and Signal Processing (ICICS) 2011 8th International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4577-0029-3
Type
conf
DOI
10.1109/ICICS.2011.6173581
Filename
6173581
Link To Document