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Hybrid Calibration of Microscopic Simulation Models

  • Luís Vasconcelos
  • Álvaro Seco
  • Ana Bastos Silva
Chapter
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 262)

Abstract

This chapter presents a procedure to calibrate the Gipps car-following model based on macroscopic data. The proposed method extends previous approaches in order to account for the effect of driver variability in the speed–flow relationships. The procedure was applied in a real calibration problem for the city of Coimbra, Portugal, as part of a broader calibration framework that also includes a conventional optimization based on a genetic algorithm. The results show that the new methodology is promising in terms of practical applicability.

Keywords

Car-following Gipps Speed Flow Density Calibration Microscopic Macroscopic 

Notes

Acknowledgments

This work was supported by FCT (Portugal) under the R&D project PTDC/SEN-TRA/122114/2010 (AROUND—Improving Capacity and Emission Models of Roundabouts).

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Luís Vasconcelos
    • 1
  • Álvaro Seco
    • 2
  • Ana Bastos Silva
    • 2
  1. 1.Department of Civil EngineeringPolytechnic Institute of ViseuViseuPortugal
  2. 2.Department of Civil EngineeringUniversity of CoimbraCoimbraPortugal

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