Add to ORKGThe traffic matrix (TM) is an important input in traffic engi-neering and network design. However, the design of current synthesis models of TMs has been rather ad hoc, and does not necessarily conform to observed traffic constraints. We apply the principle of maximum entropy to develop fast TM synthesis models, with the future goal of developing realistic spatio-temporal TMs. Categories and Subject Descriptor
Markov State Models (MSMs) describe the rates and routes in conformational dynamics of biomolecules....
A mathematical programming model for modal split predictions based on entropy maximization is presen...
Traffic matrices are required inputs for many IP network management tasks: for instance, capacity pl...
Traffic matrices describe the volume of traffic between a set of sources and destinations within a n...
This paper presents a procedure for the estimation of multiclass origin-destination (O-D) matrices f...
Abstract-For a large number of applications conventional methods for estimating an origin destinatio...
The main objective of this research is to develop and test a technique for estimating trip matrices ...
Existing analytical models are not adequate for a wide class of traffic scenarios in modern telecomm...
Copyright © 2006 ACMA recent paper [8] presented methods for several steps along the road to synthes...
In the process of planning transport systems, it is envisaged to determine the movement of vehicles ...
Two maximum entropy convex decompositions are computed with the use of the iterative proportional fi...
Abstract: The paper offers a new approach to transport entropy models of allocation based...
Date of publication January 24, 2017; date of current version June 14, 2017.The traffic matrix (TM) ...
Traffic assignment models are used to estimate and distribute flows in a road network so that conges...
To capture a more realistic spatial dependence between traffic links, we introduce two distinct netw...
Markov State Models (MSMs) describe the rates and routes in conformational dynamics of biomolecules....
A mathematical programming model for modal split predictions based on entropy maximization is presen...
Traffic matrices are required inputs for many IP network management tasks: for instance, capacity pl...
Traffic matrices describe the volume of traffic between a set of sources and destinations within a n...
This paper presents a procedure for the estimation of multiclass origin-destination (O-D) matrices f...
Abstract-For a large number of applications conventional methods for estimating an origin destinatio...
The main objective of this research is to develop and test a technique for estimating trip matrices ...
Existing analytical models are not adequate for a wide class of traffic scenarios in modern telecomm...
Copyright © 2006 ACMA recent paper [8] presented methods for several steps along the road to synthes...
In the process of planning transport systems, it is envisaged to determine the movement of vehicles ...
Two maximum entropy convex decompositions are computed with the use of the iterative proportional fi...
Abstract: The paper offers a new approach to transport entropy models of allocation based...
Date of publication January 24, 2017; date of current version June 14, 2017.The traffic matrix (TM) ...
Traffic assignment models are used to estimate and distribute flows in a road network so that conges...
To capture a more realistic spatial dependence between traffic links, we introduce two distinct netw...
Markov State Models (MSMs) describe the rates and routes in conformational dynamics of biomolecules....
A mathematical programming model for modal split predictions based on entropy maximization is presen...
Traffic matrices are required inputs for many IP network management tasks: for instance, capacity pl...