Self-organizing traffic flow prediction with an optimized deep belief network for internet of vehicles

• Main Authors: Goudarzi, S., Kama, M. N., Anisi, M. H., Soleymani, S. A., Doctor, F.
• Format: Article
• Language: English
• Published: MDPI AG 2018
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/79667/1/SeyedAhmadSoleymani2018_SelfOrganizingTrafficFlowPrediction.pdf; http://eprints.utm.my/id/eprint/79667/; http://dx.doi.org/10.3390/s18103459
• Institution: Universiti Teknologi Malaysia

To assist in the broadcasting of time-critical traffic information in an Internet of Vehicles (IoV) and vehicular sensor networks (VSN), fast network connectivity is needed. Accurate traffic information prediction can improve traffic congestion and operation efficiency, which helps to reduce commute...