State-Dependent Queueing for Adaptive Signal Control: A Simulation-Based Performance Evaluation

Authors

• Shaimaa AlSeddiek, PhD Researcher Electronics and communication Engineering Department, Faculty of Engineering, Mansoura UniversityFollow
• Usama Elrawy Shahdah, Associate Professor, Public Works Engineering Department, Faculty of Engineering, Mansoura University
• Hala B. Nafea, Assistant Professor, Electronics and communication Engineering Department, Faculty of Engineering, Mansoura University
• Hossam El-Din Moustafa, Professor, Electronics and communication Engineering Department, Faculty of Engineering, Mansoura University
• El-Said Ahmed Marzouk, Associate Professor, Electronics and communication Engineering Department, Faculty of Engineering, Mansoura University
• Mohamed M. Ashour, Associate Professor, Electronics and communication Engineering Department, Faculty of Engineering, Mansoura University

Corresponding Author

Shaimaa AlSeddiek

Subject Area

Electronics and Communication Engineering

Article Type

Original Study

Abstract

Urban traffic congestion persists as a critical challenge to transportation system efficiency, sustainability, and safety. Traditional queuing models utilizing fixed service rates inadequately represent the dynamic feedback between congestion and capacity in real vehicular flow. State-Dependent Queuing Models (SDQMs) address this limitation by modelling service rate as a function of queue length or density. This research advances SDQM application for adaptive traffic signal control through development of a calibrated state-dependent departure rate implemented within a microscopic simulation environment using SUMO and TraCI. Six control strategies including fixed-time, actuated, and two SDQM variants were evaluated across traffic demands ranging from undersaturated to highly oversaturated and unbalanced conditions. The optimized SDQM consistently outperformed non-adaptive controllers under low and moderate demand, achieving stopped delay reductions of up to 82% compared to simple fixed-time control. However, under saturated conditions, SDQM demonstrated sensitivity to real-time arrival rate estimation, resulting in reduced throughput despite maintaining comparatively low stopped delay values. These findings validate the theoretical advantages of state-dependent service modelling while underscoring the necessity for hybridized control logic and robust state estimation in practical deployments. Travel time analysis reveals that stopped delay alone may underestimate user delay in congested conditions, highlighting the importance of multi-metric evaluation

Keywords

state-dependent queuing, adaptive traffic signal control, microscopic simulation, SUMO, traffic congestion management, intelligent transportation systems

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.

Recommended Citation

AlSeddiek, Shaimaa; Shahdah, Usama Elrawy; Nafea, Hala B.; Moustafa, Hossam El-Din; Marzouk, El-Said Ahmed; and Ashour, Mohamed M. (2026) "State-Dependent Queueing for Adaptive Signal Control: A Simulation-Based Performance Evaluation," Mansoura Engineering Journal: Vol. 51 : Iss. 5 , Article 9.
Available at: https://doi.org/10.58491/2735-4202.3481