Development of Online Vissim Traffic Microscopic Calibration Framework Using Artificial Intelligence for Cairo CBD Area
Published in Ekistics and The New Habitat, 2022
This paper presents a comprehensive framework for online calibration of VISSIM microscopic simulation models using artificial intelligence techniques specifically applied to the Cairo Central Business District area. The framework addresses the challenges of calibrating complex traffic simulation models to accurately reflect local driving behavior and traffic patterns. The methodology incorporates machine learning algorithms to automate the calibration process and improve the accuracy of traffic simulation results. The approach demonstrates significant improvements in model validation metrics and provides a robust foundation for traffic analysis in complex urban environments.
Recommended citation: A. K. Shafik, Hassan, A., Saied, A. M., & Abdelmegeed, A. E. (2022). Development of Online Vissim Traffic Microscopic Calibration Framework Using Artificial Intelligence for Cairo CBD Area. Ekistics and The New Habitat, 81(1), 2-9.
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