Performance evaluation of red-light violation warning application with traffic signal actuation and coordination
The Red-Light Violation Warning (RLVW) is a Connected Vehicle-to-Infrastructure application designed to enhance traffic safety by significantly reducing Red-Light Running (RLR) incidents at traffic signals. This paper evaluates the safety and mobility impacts of RLVW under coordinated-actuated signal control using a software-in-the-loop simulation environment. Specifically, it examines a recently proposed method as part of a national initiative to implement an Assured Green Period (AGP). It aims to address uncertainties in the duration of the green phase conveyed to drivers through connected vehicle (CV) technology under actuated signal control. While previous research indicated that AGP implementation without signal coordination improved safety, it also highlighted potential mobility drawbacks, such as increased stops and delays at intersections. The findings of this study reveal that integrating AGP with traffic signal coordination, particularly using an 11-second offset, significantly increased the 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 mitigated the negative mobility impacts of RLVW. Furthermore, the system achieved a 75% reduction in Red-Light Running events, underscoring its safety benefits.
Authors
- Ramina Javid (ORCID: https://orcid.org/0000-0002-5487-1560)
- Eazaz Sadeghvaziri (ORCID: https://orcid.org/0000-0003-1002-237X)
- Mahmoud Arafat (ORCID: https://orcid.org/0000-0001-9707-1523)
Institutions
- Frederick Community College (US)
- Mercer University (US)
- Morgan State University (US)
- Science Applications International Corporation (United States) (US)
Publication Details
- Journal
- Digital Transportation and Safety
- Published
- 2025-01-01
- DOI
- https://doi.org/10.48130/dts-0025-0007
- Primary Topic
- Impact of Light on Environment and Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00