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This paper aims at developing near optimal traffic signal control for multi-intersections in city. As a new optimization technique, adaptive dynamic programming (ADP) combines concepts of reinforcement learning and dynamic programming. ADP could learn continually from experience to achieve a near optimal control policy under varying conditions. However, without the cooperation among adjacent intersections,...
we presented a novel control method in previous studies, which is action-dependent heuristic dynamic programming based on eligibility traces (ADHDP (lambda)). Although ADHDP (lambda) has good performance in local ramp metering control, it can't efficiently deal with the problems of multiple ramp metering control. Then in this article, a new method which is called dual heuristic programming based on...
Accurate, reliable, and timely traffic information is critical for deployment and operation of intelligent transportation systems (ITSs). Traffic forecasting for travelers and traffic operators should become at least as useful and convenient as weather reports. In the US, the Federal Highway Administration (FHWA) has envisioned a real-time traffic estimation and prediction system (TrEPS) as an ITS...
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