Ramp metering, in the context of ITS systems, offers several operational features for improving traffic flow, traffic safety and air quality by the regulation of input flow to a freeway or highway. A general fuzzy ramp control algorithm is described and an example is examined. This fuzzy control algorithm is arranged into a neuro-fuzzy architecture and the membership functions are learned by a neural network based method from the US demand-strategy method.
A neuro-fuzzy approach for ramp metering
01.01.2000
495411 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
A neuro-fuzzy approach for ramp metering
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