IRO Journals
Journal of Electronics and Informatics

GiveWay ATES: An Adaptive Traffic Equity System Integrating PCE-Weighted Computer Vision, RFID Emergency Preemption, and Ghost Lane Detection

Open Access
Published: 19 August, 2026
Pages: 301-316
  • Vishnu Balaji C. , Vishnu Balaji C.
    Assistant Professor, Department of Information Technology, NPR College of Engineering and Technology, Natham, Dindigul, India
    Assistant Professor, Department of Information Technology, NPR College of Engineering and Technology, Natham, Dindigul, India
  • Siddharth S. , Siddharth S.
    Student, Department of Information Technology, NPR College of Engineering and Technology, Natham, Dindigul, India
    Student, Department of Information Technology, NPR College of Engineering and Technology, Natham, Dindigul, India
  • Hari Haran T. , Hari Haran T.
    Student, Department of Information Technology, NPR College of Engineering and Technology, Natham, Dindigul, India
    Student, Department of Information Technology, NPR College of Engineering and Technology, Natham, Dindigul, India
  • Arockia Rubi S. Arockia Rubi S.
    Student, Department of Information Technology, NPR College of Engineering and Technology, Natham, Dindigul, India
    Student, Department of Information Technology, NPR College of Engineering and Technology, Natham, Dindigul, India
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How to Cite

C., Vishnu Balaji, Siddharth S., Hari Haran T., and Arockia Rubi S. 2026. “GiveWay ATES: An Adaptive Traffic Equity System Integrating PCE-Weighted Computer Vision, RFID Emergency Preemption, and Ghost Lane Detection”. Journal of Electronics and Informatics 8 (3): 301-16. https://doi.org/10.36548/jei.2026.3.008.
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Keywords

Adaptive Traffic Signal Control
Intelligent Transportation Systems
Passenger Car Equivalent (PCE)
YOLOv8
Emergency Vehicle Preemption
Heterogeneous Traffic

Abstract

The increasing complexities of urban traffic management results in the need to develop an adaptive solution. The proposed solution integrates the following components: vehicle composition, emergency services priority, safety, and resilience. This research study proposes GiveWay ATES, an adaptive traffic equity system. The proposed algorithm is designed to integrate weighted traffic demands along with waiting time escalation in order to avoid lane starvation, while the use of RFID at hardware level makes it possible to provide pre-emptive emergency measures without depending on the backend processing. Ghost lane detection, weather-based clearance duration control and multi-source backup are also integrated in the proposed system. The experimental analysis has shown that traffic simulation, hardware-in-theloop and field-based observation have resulted in an average delay of 28.4 s, maximal queue length of 18.9 cars, and a throughput of 2,563 PCE/h. Preemption delay was less than 200 ms, while ghost lane detection precision was around 97.3%.

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