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
2000-01-01
495411 byte
Conference paper
Electronic Resource
English
A neuro-fuzzy approach for ramp metering
British Library Conference Proceedings | 2000
|A neuro-fuzzy algorithm for coordinated traffic responsive ramp metering
Tema Archive | 2001
|A Neuro-Fuzzy Algorithm for Coordinated, Traffic-Responsive Ramp Metering
British Library Conference Proceedings | 2001
|