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Network Design Models and Methods for Urban Traffic Management

  • Conference paper
Urban Traffic Networks

Part of the book series: Transportation Analysis ((TRANSANALY))

Abstract

In urban traffic planning and management the determination of network configuration (topology and link capacities), signal setting parameters (cycle time, green times and offsets) and link flow pattern is generally required. To this aim a set of models, belonging to the family of network design models, has to be defined. In these models the path choice user behaviour has to be taken into account, in order to define the link flow pattern. The signal setting contributes to the definition of the user costs (travel and delay costs) and assumes a relevant role in the path choice. For this reason the signal setting parameters (data and variables) should be explicitly included in the model formulation.

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Author information

Authors and Affiliations

  1. Dip. di Ingegneria dei Sistemi e Matematica, Università degli Studi di Reggio Calabria, Via E. Cuzzocrea 69, 89100, Reggio Calabria, Italy

    Giulio E. Cantarella

  2. Departimento di Informatica e Sistemistica, Università degli Studi di Napoli “Federico II”, Via Claudio 21, 80125, Napoli, Italy

    Antonio Sforza

Authors
  1. Giulio E. Cantarella
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  2. Antonio Sforza
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Editor information

Editors and Affiliations

  1. Department of Civil Engineering, University of Massachusetts, Lowell, MA, 01854, USA

    Nathan H. Gartner

  2. Università di Napoli ”Federico II”, Via Claudio, 21, I-80125, Naples, Italy

    Gennaro Improta

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© 1995 Springer-Verlag Berlin · Heidelberg

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Cantarella, G.E., Sforza, A. (1995). Network Design Models and Methods for Urban Traffic Management. In: Gartner, N.H., Improta, G. (eds) Urban Traffic Networks. Transportation Analysis. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79641-8_5

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  • DOI: https://doi.org/10.1007/978-3-642-79641-8_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-79643-2

  • Online ISBN: 978-3-642-79641-8

  • eBook Packages: Springer Book Archive

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