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Computational precision of traffic equilibria sensitivities in automatic network design and road pricing

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  • Bar-Gera, Hillel
  • Hellman, Fredrik
  • Patriksson, Michael

Abstract

Recent studies demonstrate the importance of computational precision of user equilibrium traffic assignment solutions for scenario comparisons. When traffic assignment is hierarchically embedded in a model for network design and/or road pricing, not only the precision of the solution itself becomes more important, but also the precision of its derivatives with respect to the design parameters should be considered.

Suggested Citation

  • Bar-Gera, Hillel & Hellman, Fredrik & Patriksson, Michael, 2013. "Computational precision of traffic equilibria sensitivities in automatic network design and road pricing," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 485-500.
    • Handle: RePEc:eee:transb:v:57:y:2013:i:c:p:485-500
    DOI: 10.1016/j.trb.2013.08.018
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    References listed on IDEAS

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    Cited by:

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    3. Bagdasar, Ovidiu & Berry, Stuart & O’Neill, Sam & Popovici, Nicolae & Raja, Ramachandran, 2019. "Traffic assignment: Methods and simulations for an alternative formulation of the fixed demand problem," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 155(C), pages 360-373.
    4. Rinaldi, Marco & Tampère, Chris M.J., 2015. "An extended coordinate descent method for distributed anticipatory network traffic control," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 107-131.
    5. Borchers, Marlies & Breeuwsma, Paul & Kern, Walter & Slootbeek, Jaap & Still, Georg & Tibben, Wouter, 2015. "Traffic user equilibrium and proportionality," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 149-160.
    6. Jafari, Ehsan & Boyles, Stephen D., 2016. "Improved bush-based methods for network contraction," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 298-313.
    7. Diana P. Moreno-Palacio & Carlos A. Gonzalez-Calderon & John Jairo Posada-Henao & Hector Lopez-Ospina & Jhan Kevin Gil-Marin, 2022. "Entropy-Based Transit Tour Synthesis Using Fuzzy Logic," Sustainability, MDPI, vol. 14(21), pages 1-25, November.
    8. David Di Lorenzo & Alessandro Galligari & Marco Sciandrone, 2015. "A convergent and efficient decomposition method for the traffic assignment problem," Computational Optimization and Applications, Springer, vol. 60(1), pages 151-170, January.
    9. Hanghun Jo & Heungsoon Kim, 2021. "Developing a Traffic Model to Estimate Vehicle Emissions: An Application in Seoul, Korea," Sustainability, MDPI, vol. 13(17), pages 1-18, August.

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