Abstract
This paper analyses certain aspects related to the route choice model in transport systems. The effects of an interference term have been taken into consideration in addition to the effect of a traditional covariance term. Both the specification and calibration of an interference term in a quantum route choice model are shown in the context of an assignment model. An application to a real system is reported where the calibration of QUMs (Quantum Utility Models) was performed using traffic counts. Results are compared with traditional and consolidated models belonging to the Logit family. Based on the theoretical and numeric results, it is highlighted how the interference term and quantum model can consider other aspects (such as information) with respect to traditional RUMs (Random Utility Models).
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Authors wish to thank the Municipality of Benevento for having made available the data of the urban traffic plan during the national research project PRIN 2009.
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Di Gangi, M., Vitetta, A. (2018). Specification and Aggregate Calibration of a Quantum Route Choice Model from Traffic Counts. In: Daniele, P., Scrimali, L. (eds) New Trends in Emerging Complex Real Life Problems. AIRO Springer Series, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-030-00473-6_25
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DOI: https://doi.org/10.1007/978-3-030-00473-6_25
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