Effect of Red-Light Cameras on Capacity of Signalized Intersections-Reference-Cited by-同舟云学术

Effect of Red-Light Cameras on Capacity of Signalized Intersections

Published:2016-01 Issue:1 Volume:142 Page:04015035
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Baratian-Ghorghi Fatemeh¹,Zhou Huaguo²,Wasilefsky Isaac³

Affiliation:

1. Ph.D. Student, Dept. of Civil Engineering, Auburn Univ., Auburn, AL 36849-5337 (corresponding author).

2. Associate Professor, Dept. of Civil Engineering, Auburn Univ., Auburn, AL 36849-5337.

3. Undergraduate Student, Dept. of Civil Engineering, Auburn Univ., Auburn, AL 36849-5337.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29TE.1943-5436.0000804

Reference25 articles.

1. Council F. M. (2005). “Implementing red light camera programs: Guidance from economic analysis of safety benefits.” Transportation Research Record 1922 Transportation Research Board Washington DC 38–43.

2. Fitzsimmons E. J. Hallmark S. McDonald T. Orellana M. and Matulac D. (2007). “The effectiveness of Iowa’s automated red light running enforcement programs.” Rep. No. CTRE Project 05–226 Iowa State University Center for Transportation Research and Education Ames IA.

3. Gates T. J. Savolainen P. T. and Maria U. H. (2014). “Impacts of automated red light running enforcement cameras on driver behavior.” Transportation Research Board 93rd Annual Meeting Transportation Research Board Washington DC.

4. Hadayeghi A. Malone B. Suggett J. and Reid J. (2007). “Identification of intersections with promise for red light camera safety improvement: Application of generalized estimating equations and empirical bayes.” Transportation Research Record 2019 Transportation Research Board Washington DC 181–188.

5. Hallmark S. Orellana M. McDonald T. Fitzsimmons E. and Matulac D. (2010). “Red light running in Iowa: Automated enforcement program evaluation with Bayesian analysis.” Transportation Research Record 2182 Transportation Research Board Washington DC 48–54.

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