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Quantum utility and random utility model for path choice modelling: Specification and aggregate calibration from traffic counts

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  • Di Gangi, Massimo
  • Vitetta, Antonino

Abstract

In assignment models a key role is played by the path choice model, which computes the set of decisions made by the user before (and during) the routing on the network according to perceived paths and related costs. The path choice is a component of the assignment models.

Suggested Citation

  • Di Gangi, Massimo & Vitetta, Antonino, 2021. "Quantum utility and random utility model for path choice modelling: Specification and aggregate calibration from traffic counts," Journal of choice modelling, Elsevier, vol. 40(C).
    • Handle: RePEc:eee:eejocm:v:40:y:2021:i:c:s1755534521000233
    DOI: 10.1016/j.jocm.2021.100290
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    References listed on IDEAS

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    1. Hancock, Thomas O. & Broekaert, Jan & Hess, Stephane & Choudhury, Charisma F., 2020. "Quantum choice models: A flexible new approach for understanding moral decision-making," Journal of choice modelling, Elsevier, vol. 37(C).
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    4. Lipovetsky, Stan, 2018. "Quantum paradigm of probability amplitude and complex utility in entangled discrete choice modeling," Journal of choice modelling, Elsevier, vol. 27(C), pages 62-73.
    5. Bekhor, Shlomo & Prato, Carlo Giacomo, 2009. "Methodological transferability in route choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 43(4), pages 422-437, May.
    6. Carlos F. Daganzo, 1983. "Stochastic Network Equilibrium with Multiple Vehicle Types and Asymmetric, Indefinite Link Cost Jacobians," Transportation Science, INFORMS, vol. 17(3), pages 282-300, August.
    7. Carlos F. Daganzo & Yosef Sheffi, 1977. "On Stochastic Models of Traffic Assignment," Transportation Science, INFORMS, vol. 11(3), pages 253-274, August.
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    Cited by:

    1. Antonio Comi & Antonio Polimeni, 2022. "Estimating Path Choice Models through Floating Car Data," Forecasting, MDPI, vol. 4(2), pages 1-13, June.

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