New Automatic Incident Detection Algorithm Based on Traffic Data Collected for Journey Time Estimation-Reference-Cited by-同舟云学术

New Automatic Incident Detection Algorithm Based on Traffic Data Collected for Journey Time Estimation

Published:2013-08 Issue:8 Volume:139 Page:840-847
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Li Xiangmin¹,Lam William H. K.²,Tam Mei Lam³

Affiliation:

1. Postgraduate Student, Dept. of Civil and Environmental Engineering, Hong Kong Polytechnic Univ., Hung Hom, Kowloon, Hong Kong (corresponding author).

2. Chair Professor, Dept. of Civil and Environmental Engineering, Hong Kong Polytechnic Univ., Hung Hom, Kowloon, Hong Kong.

3. Senior Project Fellow, Dept. of Civil and Environmental Engineering, Hong Kong Polytechnic Univ., Hung Hom, Kowloon, Hong Kong.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29TE.1943-5436.0000566

Reference27 articles.

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2. Chung E. and Rosalion N. (1999). “Effective incident detection and management on freeways.” Research Rep. ARR 327 ARRB Transport Research Victoria Australia.

3. Detection of freeway capacity-reducing incidents by traffic-stream measurements;Cook A. R.;Transp. Res. Rec.,1974

4. Corby M. J. and Saccomanno D. E. (1997). “Analysis of freeway accident detection.” Transportation Research Record 1603 Transportation Research Board Washington DC 80–89.

5. Development and evaluation of arterial incident detection models using fusion of simulated probe vehicle and loop detector data

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