Analysis of red light violation data collected from intersections equipped with red light photo enforcement cameras

Yang, C. Y. David; Najm, Wassim G · 2006 · ROSA P / United States. Department of Transportation. National Highway Traffic Safety Administration

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Summary

This study analyzes red light violation data to identify causal factors and correlations with driver, intersection, and environmental variables. The research was conducted by the Volpe National Transportation Systems Center for the National Highway Traffic Safety Administration (NHTSA) as preparatory analysis for a potential field operational test of a Cooperative Signal Violation Warning System (CSVWS). The goal was to understand red light running behavior to inform the design and warning algorithms of vehicle-infrastructure cooperative crash countermeasures aimed at reducing crossing-path crashes. The researchers analyzed approximately 47,000 red light violation records collected between May 1999 and June 2003 from 11 signalized intersections in Sacramento, California. These records were generated by Red Light Photo Enforcement Cameras (RLPECs) and included only citations issued by the police, representing about 35% of all photos taken. The dataset included variables such as violator age, gender, vehicle speed, time of day, and elapsed time since the red light onset. The study employed descriptive statistics and logistic regression modeling to examine the influence of these factors on violation likelihood, speeding behavior, and the timing of violations relative to the signal change. Descriptive statistics revealed that drivers under 30 years of age were more likely to run red lights than other age groups. Approximately 56% of violators were traveling at or below the posted speed limit, while the average violation speed was 31.6 mph. Timing analysis showed that 94% of violations occurred within two seconds of the red light onset, with only 3% occurring after five seconds. Violations peaked between 2:00 p.m. and 2:59 p.m. Logistic regression models indicated that younger drivers had 1.5 times the odds of running a red light while speeding compared to middle-aged drivers. Conversely, older drivers had a higher probability of entering the intersection more than two seconds after the red light onset compared to younger drivers. Additionally, violators during daytime hours (6 a.m. to 7 p.m.) and at intersections with heavy traffic volumes had a lower probability of speeding. Estimated red light violation rates ranged from 6 to 29 violations per 100,000 crossing vehicles. The findings imply that driver age significantly influences red light running behavior, necessitating age-specific considerations in the experimental design for CSVWS field tests. The study suggests that warning algorithms should vary by time of day, as drivers exhibit different tendencies regarding speeding and late entry into intersections. For periods when drivers are more susceptible to speeding or entering intersections late, the system should issue earlier and more decisive warnings to effectively encourage stopping. These insights support the development of performance specifications and objective test procedures for cooperative signal violation warning systems.

Key finding

Younger drivers under 30 have 1.5 times the odds of running a red light while speeding compared to middle-aged drivers, whereas older drivers are more likely to enter intersections more than two seconds after the signal turns red.

Methodology

dataset

Sample size: 46997

Provenance

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Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

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• automated enforcement cameras