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
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;
Conference_Titel :
Information, Communications and Signal Processing (ICICS) 2011 8th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0029-3
DOI :
10.1109/ICICS.2011.6173581
