Prediction of Road Congestion Level Based on Bayes Algorithm
Prediction of Road Congestion Level Based on Bayes Algorithm
- Neue Suche nach: Xiao, Shou Bai
Traffic jams increasingly threaten the normal city traffic, so our paper analyzes the state of the existing road traffic congestion, road traffic congestion found in the state is a relatively vague and random dynamic data model. Based on these two characteristics, we propose a road traffic congestion degree assessment model based on Bayesian algorithm. Based on the theoretical analysis of Bayesian algorithms to improve the processing efficiency of the algorithm to construct the road traffic congestion degree evaluation model based on Bayesian algorithm set, and the simulation experiments.
Dokumentinformationen
Prediction of Road Congestion Level Based on Bayes Algorithm
Applied Mechanics and Materials ; 599-601 ; 1593-1596
2014-08-11
4 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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