Watch a technical presentation exploring the development of a large-scale traffic simulation model for Belgium's road network, focusing on an innovative probabilistic travel demand approach that requires minimal data input. Learn how the model utilizes city population statistics, inter-city distances, yearly vehicle-kilometer data, and annual truck trip information to generate origin-destination matrices for the SUMO traffic simulator. Discover the implementation of mesoscopic simulation techniques and dynamic user equilibrium traffic assignment in creating the base model, followed by its calibration using traffic count data and validation through comparison with real Google Maps API travel times. Understand how this highly accurate model serves as a valuable tool for road authorities, urban planners, and decision-makers to evaluate various scenarios, including the impact of unusual conditions and the integration of connected and autonomous vehicles on Belgium's transportation infrastructure. Read more