Author
Park, Sung Yoon; Chien-Lun Lan; and Gang-Len Chang
Benefit Summary HTML

Red Light Cameras (RLCs) are a popular measure to reduce red-light running and improve intersection safety. However, they may not always be effective, and their impacts on broader driver behavior are not fully determined. The objective of this report was to assess the effectiveness of RLC systems in reducing various types of intersection crashes and the impact of RLC systems on driver behaviors such as approaching speed and responses to yellow signal phases.

To perform this analysis, researchers evaluated the effectiveness of RLC deployments at 27 different intersections across Maryland. They also directly investigated the impact of RLCs on driver behaviors by performing empirical observations at two RLC intersection clusters and analyzed the results to determine responses to the presence of RLCs.

Findings were classified into four categories: Reduction in both side-impact crashes and rear-impact collisions; reduction in side-impact crashes only; reduction in rear-end collisions only; and no influence on rear-end collisions.

When analyzing the effectiveness of the selected 27 RLC deployments, researchers looked at six different time spans: every combination of either three or five years before and after implementation. This was to ensure robustness.

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Red Light Cameras (RLCs) are a popular measure to reduce red-light running and improve intersection safety. However, they may not always be effective, and their impacts on broader driver behavior are not fully determined. The objective of this report was to assess the effectiveness of RLC systems in reducing various types of intersection crashes and the impact of RLC systems on driver behaviors such as approaching speed and responses to yellow signal phases.

To perform this analysis, researchers evaluated the effectiveness of RLC deployments at 27 different intersections across Maryland. They also directly investigated the impact of RLCs on driver behaviors by performing empirical observations at two RLC intersection clusters and analyzed the results to determine responses to the presence of RLCs.

Findings were classified into four categories: Reduction in both side-impact crashes and rear-impact collisions; reduction in side-impact crashes only; reduction in rear-end collisions only; and no influence on rear-end collisions.

When analyzing the effectiveness of the selected 27 RLC deployments, researchers looked at six different time spans: every combination of either three or five years before and after implementation. This was to ensure robustness.

Other Reference Number
MD-18-SHA/UM/4-37
Pages
49
Priority Research Area
Publication Sort Date
Publisher
University of Maryland
Result Type
Source ID
1848
Title
Evaluating the Impacts of Red Light Camera Deployment on Intersection Traffic Safety
UNID
78F2C9B6952BCFA1852582BE0072E89F
Source Review
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