Self-organizing traffic flow prediction with an optimized deep belief network for internet of vehicles
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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018
|
| Subjects: | |
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Teknologi Malaysia |
| Language: | English |