A fuzzy model is proposed here to speed up traﬃc ﬂows and reduce delay at road-signalized intersections by using real-time measures and traﬃc lights adaptation. The proposed demand-responsive control approach combines ﬁxed-duration cycle and fuzzy calculus to reduce the overall delay without giving too much penalty to traﬃc streams. The traﬃc lights signal modiﬁcation is based on the concept of “intersection saturation degree that identiﬁes the intersection performances. The numerical results of the proposed fuzzy approach conﬁrm its better performances with respect to the other traditional control approaches.
|Titolo:||Upgrading Urban Traffic Flow by a Demand-Responsive Fuzzy-Based Traffic Lights Model|
|Data di pubblicazione:||2014|
|Appare nelle tipologie:||1.1 Articolo in rivista|