Performance evaluation of red-light violation warning application with traffic signal actuation and coordination

Arafat, Mahmoud; Sadeghvaziri, Eazaz; Javid, Ramina · 2025 · Crossref

DOI: 10.48130/dts-0025-0007

archive: archived pipeline: cataloged verified

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Summary

This study evaluates the safety and mobility impacts of the Red-Light Violation Warning (RLVW) application, a Connected Vehicle-to-Infrastructure (V2I) system designed to reduce Red-Light Running (RLR) incidents. The research specifically addresses the challenge of implementing RLVW under actuated traffic signal control, where the duration of the green phase is uncertain. To mitigate this uncertainty, the study examines the integration of an Assured Green Period (AGP)—a designated portion of green time that ensures vehicles have sufficient stopping distance—within a coordinated-actuated signal environment. Previous research indicated that while AGP improves safety at isolated intersections, it can negatively impact mobility by increasing stops and delays. This paper aims to determine if signal coordination can mitigate these mobility drawbacks while maintaining safety benefits. The researchers employed a Software-in-the-Loop Simulation (SILS) environment, integrating the VISSIM microscopic traffic simulation software with Econolite ASC/3 signal controller software. The case study network consisted of two coordinated signalized intersections. The simulation was calibrated to reflect real-world driver behavior, specifically using logistic regression to adjust VISSIM’s stop-go probability parameters during the yellow interval. The study analyzed mobility performance measures, including stopped delay, average number of stops, and approach delays, while assessing safety through the quantification of RLR events using vehicle trajectory data. The RLVW algorithm was integrated via the COM Interface and Python, allowing simulated connected vehicles to receive Signal Phase and Timing (SPaT) messages and trigger AGP extensions when detected within the RLVW detection zone. The findings demonstrate that integrating AGP with traffic signal coordination significantly improves system performance compared to isolated operations. Specifically, using an 11-second offset in the coordinated signal timing increased vehicle throughput during the green interval by 36% at the downstream intersection over 43 analyzed signal cycles, compared to a zero-second offset. This improvement effectively mitigated the negative mobility impacts, such as increased delays, previously associated with RLVW implementation. Furthermore, the system achieved a 75% reduction in Red-Light Running events, confirming substantial safety benefits. The study highlights that proper signal coordination is critical for balancing the trade-offs between safety enhancements and traffic efficiency when deploying connected vehicle technologies. The significance of this research lies in providing empirical evidence that coordinated-actuated signal control can successfully support RLVW applications without compromising traffic mobility. By demonstrating that an optimized offset can enhance throughput while reducing RLR violations, the study offers practical guidance for transportation agencies implementing Connected Intersection technologies. It addresses a critical gap in the literature regarding the performance of RLVW under coordinated operations, suggesting that strategic signal timing adjustments are essential for maximizing the benefits of connected vehicle safety applications in real-world traffic networks.

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• automated enforcement cameras