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Discrete Dynamics in Nature and Society
Volume 2017, Article ID 8523495, 9 pages
https://doi.org/10.1155/2017/8523495
Research Article

Learning to Detect Traffic Incidents from Data Based on Tree Augmented Naive Bayesian Classifiers

1Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic, Sipailou No. 2, Xuanwu District, Nanjing 210096, China
2Huaiyin Institute of Technology, Key Laboratory for Traffic and Transportation Security of Jiangsu Province, Meicheng Rd, Huaian 223003, China

Correspondence should be addressed to Dawei Li; nc.ude.ues@iewadil

Received 25 April 2017; Revised 17 July 2017; Accepted 27 July 2017; Published 2 October 2017

Academic Editor: Gabriella Bretti

Copyright © 2017 Dawei Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Dawei Li, Xiaojian Hu, Cheng-jie Jin, and Jun Zhou, “Learning to Detect Traffic Incidents from Data Based on Tree Augmented Naive Bayesian Classifiers,” Discrete Dynamics in Nature and Society, vol. 2017, Article ID 8523495, 9 pages, 2017. https://doi.org/10.1155/2017/8523495.