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Urban traffic congestions lead to a great deal of time consumption and exhaust emissions. So alleviating congested situation will have a good impact on both economy and environment. The signal control at isolated intersections is an effective and most important way to reduce the traffic jams and collisions. A lot of control theories including traditional mathematical ways and modern intelligent ways...
This paper aims to efficiently deal with the problems of multiple ramps metering. A new method which is called neuro-fuzzy adaptive dynamic programming with eligibility traces (NFADP(lambda)) is proposed. With the introduction of neuro-fuzzy and eligibility traces, the performance of ADP is greatly enhanced. First of all, the expert experience is introduced to ADP, therefore the convergence of ADP...
Ramp metering has been developed as a traffic management strategy to alleviate congestion on freeways. Most ramp metering control algorithms are concerned without queuing consideration, because its still a tough job to deal with the problems of coordinated multiple ramps metering with queuing consideration. In this paper, on the basis of our previous studies, we use action-dependent heuristic dynamic...
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...
This paper proposes a fuzzy logic signal controller with adaptive dynamic programming optimizing for traffic intersection. Because fuzzy logic has a clear advantage that it is able to use expert knowledge well, we adopt it in our controller. As adaptive dynamic programming is an advanced technology which is suitable for solving non-linear stochastic system optimizing problems, we use it to optimize...
This paper aims at developing near optimal traffic signal control for multi-intersection in city. Fuzzy control is widely used in traffic signal control. For improving fuzzy controlpsilas adaptability in fluctuate states, a controller combined with neuro-fuzzy system and adaptive dynamic programming (ADP) is designed. This controller can be used for cooperative control of multi-intersection. The adaptive...
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