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Journal of safety research · 2026

A bibliometric performance and network analysis of red-light camera impact on signalized intersection safety.

СтатьяСистематический обзорНазвание и аннотация: Перевод в очереди
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Garba Samaila, Zhu Pengyu

Аннотация

INTRODUCTION: Red-light running (RLR) at signalized intersections poses a significant threat to traffic safety, contributing to thousands of fatalities and injuries globally each year. Despite the introduction of red-light cameras (RLCs) to mitigate these violations, their effectiveness remains contentious, with inconsistent results across studies. This article utilizes bibliometric performance and network analysis (BPNA) alongside a systematic literature review (SLR) to evaluate the impact of RLCs on signalized intersection safety.

METHOD: By analyzing literature from 1975 to 2024, the study reveals a complex landscape of research themes, highlighting both the successes and challenges associated with RLC implementation.

RESULTS: The findings identified prominent research themes, influential authors, institutions, and gaps in the literature, emphasizing the need for comprehensive strategies that combine RLC implementation with community engagement and driver education to enhance traffic safety. It also illustrates the necessity for continued exploration of RLC efficacy and the development of innovative approaches to enhance compliance, ultimately informing policymakers and traffic safety advocates about the critical importance of addressing RLR in urban areas.

CONCLUSIONS AND PRACTICAL APPLICATIONS: The study advocates for the integration of RLC systems with emerging technologies, such as vehicle-to-infrastructure (V2I) communication. As connected vehicles become increasingly prevalent, the synergy between RLCs and V2I systems could facilitate a more comprehensive understanding of traffic environments, thus enabling real-time updates and enhanced driver assistance functionalities for improving traffic safety and efficiency at signalized intersections.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты