Traffic flow modeling of large-scale motorwaynetworks using the macroscopic modeling tool METANET

By Apostolos Kotsialos, Markos Papageorgiou, Christina Diakaki, Y. Pavlis, F. Middelham. IEEE transactions on intelligent transportation systems (Print), 2002

344 citations recorded by the source corpus.

This paper employs previously developed modeling, validation, and stimulation tools to address, for the first time, the realistic macroscopic simulation of a real large-scale motorway network. More specifically, the macroscopic simulator METANET, involving a second-order traffic flow model as well as network-relevant extensions, is utilized. A rigorous quantitative validation procedure is applied to individual network links, and subsequently a heuristic qualitative validation procedure is employed at a network level. The large-scale motorway network around Amsterdam, The Netherlands, is considered in this investigation. The main goal of the paper is to describe the application approach and procedures and to demonstrate the accuracy and usefulness of macroscopic modeling tools for large-scale motorway networks.

Subfields: Building and Construction, Control and Systems Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/491bcaedeb5f14c0e2bf41756120f0da9d8e3477

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Yinhai Wang
2. Zhiyong Cui
3. Ruimin Ke
4. Ravi Sankar
5. Nicholas I. Sapankevych

In Transportation

1. Yinhai Wang
2. Zhiyong Cui
3. Ruimin Ke
4. Ravi Sankar
5. Nicholas I. Sapankevych

Citations in the corpus

• Travel-time prediction with support vector regression (2004, methodology): “On the other hand, analytical models predict travel times by using microscopic or macroscopic traffic simulators, such as METANET [25], [26], NETCELL [27], and MITSIM”