INTRODUCTION
To develop an effective driver assistance system that can prevent red light violations, it is important to have a thorough understanding of contributing factors and circumstances surrounding such violations.
METHODS
Red light violation behavior was examined using about 47,000 violation records that were captured by photo enforcement cameras from 11 signalized intersections in the city of Sacramento, California, over a four-year period. This examination identified factors with strong correlation to red light running behavior.
RESULTS
Key findings based on Sacramento's red light violation records include: (a) younger drivers showed a higher tendency of running the red light and were more likely to commit such a violation at speeds above the posted speed limit; (b) off-peak time period between 8 p.m. to 5 a.m. had lower violation counts, but red light violators in this time frame had a higher propensity of racing through intersections at high speeds; (c) also during the time period between 8 p.m. to 5 a.m., violators showed a higher probability of entering intersections two or more seconds after the onset of red light; and (d) violators were less likely to cross high traffic-volume intersections with speeds greater than the posted speed limit.
DISCUSSION
Sacramento's data suggest that some red light violators might have committed such an offense unintentionally. The top three violation speeds were all below 20 mph and more than 94% of red light runners crossed intersections within 2 seconds after the onset of the red light.
IMPACT ON INDUSTRY
In the next several years, studies will be executed to assess whether a red light violation warning system can reduce "unintentional red light running" such as drivers who made incorrect judgment regarding the adequate time to clear the intersection and inattentive motorists who fail to observe the presence and status of the red light.
[1]
B E Porter,et al.
A nationwide survey of self-reported red light running: measuring prevalence, predictors, and perceived consequences.
,
2001,
Accident; analysis and prevention.
[2]
Allan F. Williams,et al.
Red-Light Running and Sensible Countermeasures: Summary of Research Findings
,
1998
.
[3]
Myung-Soon Chang,et al.
TIMING TRAFFIC SIGNAL CHANGE INTERVALS BASED ON DRIVER BEHAVIOR
,
1985
.
[4]
Wassim G. Najm,et al.
Analysis of Red Light Violation Data Collected from Intersections Equipped with Red Light Photo Enforcement Cameras
,
2006
.
[5]
J Bonneson,et al.
ENGINEERING COUNTERMEASURES TO RED-LIGHT-RUNNING
,
2002
.
[6]
K. M. Lum,et al.
Impacts of Red Light Camera on Violation Characteristics
,
2003
.
[7]
Wassim G. Najm,et al.
ANALYSIS OF FATAL CRASHES DUE TO SIGNAL AND STOP SIGN VIOLATIONS
,
2004
.
[8]
A. Williams,et al.
Prevalence and characteristics of red light running crashes in the United States.
,
1999,
Accident; analysis and prevention.
[9]
Alvah C. Bittner,et al.
Intersection Collision Avoidance Using ITS Countermeasures. Final Report. Performance Guidelines
,
2000
.
[10]
Bryan E. Porter,et al.
Predicting Red-Light Running Behavior: A Traffic Safety Study in Three Urban Settings
,
2000
.
[11]
H W McGee,et al.
A history of the yellow and all-red intervals for traffic signals
,
2001
.
[12]
Allan F. Williams,et al.
Characteristics of red light violators: Results of a field investigation
,
1996
.