Development of a Hybrid Prediction Model for Freeway Incident Duration: A Case Study in Maryland-Reference-Cited by-同舟云学术

Development of a Hybrid Prediction Model for Freeway Incident Duration: A Case Study in Maryland

Published:2011-09-20 Issue:1 Volume:10 Page:22-33
ISSN:1348-8503
Container-title:International Journal of Intelligent Transportation Systems Research
language:en
Short-container-title:Int. J. ITS Res.

Author:

Kim Woon,Chang Gang-Len

Publisher

Springer Science and Business Media LLC

Subject

General Neuroscience,Computer Science Applications,Software,Automotive Engineering,Applied Mathematics,Control and Systems Engineering,Aerospace Engineering,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s13177-011-0039-8.pdf

Reference25 articles.

1. Transportation Research Board (TRB), Special Report 209: Highway Capacity Manual. National Research Council, Washington (2000)

2. De Rose Jr., F.: An analysis of random freeway traffic accidents and vehicle Disabilities. Highway Res. Rec. 59, 53–65 (1964)

3. Goolsby, M.E., Smith, W.: Influence of incidents on freeway quality of service. Highway Res. Rec. 349, 41–46 (1971)

4. Juge, J., Kennedy, K., Wang, T.: “Early detection and rapid removal of disabled vehicles and other hazards from the freeway”, California Department of Transportation and Department of California Highway Patrol (1974)

5. Golob, T., Recker, W., Leonard, J.: An analysis of the severity and incident duration of truck-involved freeway accidents. Accid. Anal. Prev. 19(4), 375–395 (1987)

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