Intelligent Transport System
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 3
Abstract
Due to increase in population there is a need for more transportation system. Because of the current system the traffic flow has greatly increased. Here we propose an intelligent traffic prediction system that captures continuous images of the traffic flow using it device and from the images we obtain the features to train the system using the stacked auto encoder model along with the spatial and temporal correlations. A stacked auto-encoder is used to learn generic traffic flow features and it is trained in a greedy layer wise fashion.
Authors and Affiliations
R. Anush, M. Mathan Prakash, K. Alice
Keywords
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