Investigation of Violation Reduction at Intersection Approaches with Automated Red Light Running Enforcement Cameras in Clive, Iowa, Using a Cross-Sectional Analysis

Author:

Fitzsimmons Eric J.12345,Hallmark Shauna L.12345,Orellana Massiel12345,McDonald Thomas12345,Matulac David12345

Affiliation:

1. Graduate Research Assistant, Dept. of Civil, Construction, and Environmental Engineering, Institute for Transportation, Center for Transportation Research and Education, Iowa State Univ., Ames, 2711 South Loop Dr., Suite 4700, IA 50010.

2. Associate Professor, Dept. of Civil, Construction, and Environmental Engineering, Insitute for Transportation, Center for Transportation Research and Education, Iowa State Univ., 2711 South Loop Dr., Suite 4700, Ames, IA 50010 (corresponding author).

3. Graduate Research Assistant, Dept. of Statistics and Dept. of Agronomy, Institute for Transportation, Center for Transportation Research and Education, Iowa State Univ., 2711 South Loop Dr., Suite 4700, Ames, IA 50010.

4. Safety Circuit Rider, Institute for Transportation, Center for Transportation Research and Education, Iowa State Univ., 2711 South Loop Dr., Suite 4700, Ames, IA 50010.

5. Traffic Operations Engineer, Iowa Dept. of Transportation, 800 Lincoln Way, Ames, IA 50010.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Reference18 articles.

1. Burchfield R. M. (2005). City of Portland Red Light Running Camera Biennial Rep. City of Portland Ore.

2. Federal Highway Administration (FHWA). (2006). “Stop red light running facts and statistics.” U.S. Department of Transportation FHWA safety ⟨http://safety.fhwa.dot.gov/intersections/redl_facts.htm⟩ (Feb. 28 2008).

3. Fleck J. L. and Smith B. B. (1999). “Can we make red light runners stop? Red light photo enforcement in San Francisco California.” Transportation Research Record. 1693 TRB National Research Council Washington D.C. 46–49.

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