Prediction of Road Congestion Level Based on Bayes Algorithm

Shou Bai Xiao

doi:10.4028/www.scientific.net/AMM.599-601.1593

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 599-601Prediction of Road Congestion Level Based on Bayes...

Prediction of Road Congestion Level Based on Bayes Algorithm

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 599-601)

Pages:

1593-1596

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.599-601.1593

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Online since:

August 2014

Authors:

Shou Bai Xiao*

Keywords:

Assessment Model, Bayes Algorithm, Big Data Environments, Road Traffic Congestion Level

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* - Corresponding Author

References

[1] Bayes-Genis A, Conover C A, Overgaard M T, et al. Pregnancy-associated plasma protein A as a marker of acute coronary syndromes[J]. New England Journal of Medicine, 2001, 345(14): 1022-1029.

DOI: 10.1056/nejmoa003147

Google Scholar

[2] Puente X S, Pinyol M, Quesada V, et al. Whole-genome sequencing identifies recurrent mutations in chronic lymphocytic leukaemia[J]. Nature, 2011, 475(7354): 101-105.

Google Scholar

[3] Hudson T J, Anderson W, Aretz A, et al. International network of cancer genome projects[J]. Nature, 2010, 464(7291): 993-998.

DOI: 10.1038/nature08987

Google Scholar

[4] Bayes-Genis A, Conover C A, Schwartz R S. The insulin-like growth factor axis a review of atherosclerosis and restenosis[J]. Circulation research, 2000, 86(2): 125-130.

DOI: 10.1161/01.res.86.2.125

Google Scholar