Abstract

This article evaluates the use of Priority Queueing models to achieve delay differentiation in IP networks operating under the Class of Services paradigm. Three models are considered: proportional model, additive model and a novel hybrid schema based on the upper time limit model. The characteristics, behaviour and viability of these models are analysed as regards traffic delay differentiation. The impact of each model on traffic aggregation and on individual flows is also evaluated. This study is complemented by the analysis of delay differentiation from an end-to-end perspective. An adaptive differentiation mechanism is also proposed and discussed. (undefined) Document type: Part of book or chapter of book

Abstract

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.