2 papers
eess.SY2025
Using ensemble learning with hybrid graph neural networks and transformers to predict traffic in cities
Ismail Zrigui, Samira Khoulji, Mohamed Larbi Kerkeb
Intelligent transportation systems (ITS) still have a hard time accurately predicting traffic in cities, especially in big, multimodal settings with complicated spatiotemporal dyna…
eess.SY2025
Integrated Strategy for Urban Traffic Optimization: Prediction, Adaptive Signal Control, and Distributed Communication via Messaging
Ismail Zrigui, Samira Khoulji, Mohamed Larbi Kerkeb
This work introduces an integrated approach to optimizing urban traffic by combining predictive modeling of vehicle flow, adaptive traffic signal control, and a modular integration…