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Traffic Simulation with METANET

In: Fundamentals of Traffic Simulation

Author

Listed:
  • Markos Papageorgiou

    (Technical University of Crete)

  • Ioannis Papamichail

    (Technical University of Crete)

  • Albert Messmer

    (Independent Engineer)

  • Yibing Wang

    (Monash University)

Abstract

This chapter presents the macroscopic simulation tool METANET along with several options, variations, and extensions. METANET simulates complex traffic flow phenomena on motorway networks under all possible traffic conditions (free flow, critical, congested) including the possible presence of incidents. Modeling of the drivers’ routing behavior is enabled and a number or related options are offered to the user. The simulator is readily connected to potential control strategies for a variety of control measures including ramp metering, motorway-to-motorway control, driver information and route guidance, variable speed limits, mainline metering, and shoulder lane opening. Model validation procedures and selected application examples are presented. Extension of METANET includes online METANET (for real-time decision support), METANET-DTA (for exact dynamic traffic equilibrium), AMOC (for optimal control including any combination of control measures), and RENAISSANCE (for advanced real-time traffic surveillance).

Suggested Citation

  • Markos Papageorgiou & Ioannis Papamichail & Albert Messmer & Yibing Wang, 2010. "Traffic Simulation with METANET," International Series in Operations Research & Management Science, in: Jaume Barceló (ed.), Fundamentals of Traffic Simulation, chapter 0, pages 399-430, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-6142-6_11
    DOI: 10.1007/978-1-4419-6142-6_11
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    Citations

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    Cited by:

    1. Nicholas Molyneaux & Riccardo Scarinci & Michel Bierlaire, 2021. "Design and analysis of control strategies for pedestrian flows," Transportation, Springer, vol. 48(4), pages 1767-1807, August.
    2. Nicholas Molyneaux & Riccardo Scarinci & Michel Bierlaire, 0. "Design and analysis of control strategies for pedestrian flows," Transportation, Springer, vol. 0, pages 1-41.
    3. Anastasia Spiliopoulou & Ioannis Papamichail & Markos Papageorgiou & Yannis Tyrinopoulos & John Chrysoulakis, 2017. "Macroscopic traffic flow model calibration using different optimization algorithms," Operational Research, Springer, vol. 17(1), pages 145-164, April.
    4. Yibing Wang & Long Wang & Xianghua Yu & Jingqiu Guo, 2023. "Capacity Drop at Freeway Ramp Merges with Its Replication in Macroscopic and Microscopic Traffic Simulations: A Tutorial Report," Sustainability, MDPI, vol. 15(3), pages 1-27, January.

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