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Discrete Dynamics in Nature and Society
Volume 2014 (2014), Article ID 920301, 7 pages
http://dx.doi.org/10.1155/2014/920301
Research Article

Automated Generation of Traffic Incident Response Plan Based on Case-Based Reasoning and Bayesian Theory

1Jiangsu Key Laboratory of Urban ITS, Southeast University, 2 Si-Pai Lou, Nanjing, Jiangsu 210096, China
2Transportation Engineering and Infrastructure Systems, Department of Civil Engineering, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN 47907, USA
3College of Civil and Transportation Engineering, Hohai University, 1 Xikang Road, Nanjing, Jiangsu 210098, China

Received 24 September 2013; Accepted 12 December 2013; Published 29 January 2014

Academic Editor: Huimin Niu

Copyright © 2014 Yongfeng Ma 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

Yongfeng Ma, Wenbo Zhang, Jian Lu, and Li Yuan, “Automated Generation of Traffic Incident Response Plan Based on Case-Based Reasoning and Bayesian Theory,” Discrete Dynamics in Nature and Society, vol. 2014, Article ID 920301, 7 pages, 2014. doi:10.1155/2014/920301