Accelerated incident detection across transportation networks using vehicle kinetics and support vector machine in cooperation with infrastructure agents

Author:

Ma Y.,Chowdhury M.,Jeihani M.,Fries R.

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Reference41 articles.

1. USDOT ITS Joint Program Office, Available at http://www.its.dot.gov/intellidrive/index.htm, accessed 21 January 2009

2. ‘VII architecture and functional requirements version 1.1’, (ITS Joint Program Office 2005),US DOT

3. PATH: ‘VII California bay area test bed development plan’, 4 April 2006

4. ‘VII Michigan test bed program concept of operations’, 2005 10 October),Michigan Department of Transportation

5. ITS America: ‘Primer on VII’, http://www.itsa.org/itsa/files/pdf/VIIPrimer.pdf, accessed 11 July 2007

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