is combined with a machine learning framework to both learn static parameters of the roadways (such as free flow velocity … or traffic signal parameters) as well as to estimate and predict travel times through the arterial network. The machine … learning component of the approach uses the significant amount of historical data collected by the Mobile Millennium system …

address such constraints more effectively by systematically employing machine-learning techniques. The proposed algorithms are …

Multiagent Learning is at the intersection of multiagent systems and Machine Learning, two subdomains of artificial … intelligence. Traditional Machine Learning technologies usually imply a single agent that is trying to maximize some utility … considered. Due to multiagent systems’ complexity, there have to be found solutions for using Machine Learning technologies to …