Stochastic network link transmission model

Stochastic network link transmission model

This article considers the stochastic modeling of vehicular network flows, including the analytical approximation of joint queue-length distributions. The article presents two main methodological contributions. First, it proposes a tractable network model for finite space capacity Markovian queueing networks. This methodology decomposes a general topology queueing network into a set of overlapp...

Urban Network Throughput Optimization via Model Predictive Con- Trol Using the Link Transmission Model

Dynamic Network Loading of Multiple User-Classes with the Link Transmission Model

This extended abstract shows how multiple userclasses can be considered in the link transmission model for dynamic network loading. The method assumes triangular fundamental diagrams for each user-class for which only equal shockwave speed are necessary. The link model is reconsidered; normalizations are link dependent. A simple test case is shown.

The General Link Transmission Model for Dynamic Network Loading and a comparison with the DUE algorithm

The Continuous Dynamic Network Loading problem is here addressed for given splitting rates, hence allowing for implicit path enumeration. To this aim, a macroscopic flow model for road links based on the Kinematic Wave Theory is coupled with a node model with priority rules at intersections, thus reproducing congested networks including queue spillback. The result is the General Link Transmissi...

A Stochastic Complex Network Model

We introduce a stochastic model for complex networks possessing three qualitative features: power-law degree distributions, local clustering, and slowly growing diameter. The model is mathematically natural, permits a wide variety of explicit calculations, has the desired three qualitative features, and fits the complete range of degree scaling exponents and clustering parameters.