This chapter deals with the data that form input and output of passenger route choice models. All information about supply and demand that is relevant for passenger route choice must be captured in a formal way in order to be accessible to mathematical choice models. Over time standard conventions for this formalization have emerged. In order to avoid repetition in Part 3 they are presented once in Section 5.1. Similarly Section 5.2 formalizes the output of route choice models as quantitative indicators which are then fed back into higher-level decision models and ultimately into the evaluation of different investment options. Finally, Section 5.3 reviews real-world data sources from which either model input can be extracted or against which model output can be compared for validation and calibration. Here the impact of ITS is particularly visible, as availability, diversity and volume of data have increased rapidly.

From Transit Systems to Models: Data Representation and Collection / Noekel, Klaus; Gentile, Guido; Nathanail, Efthia; Fonzone, Achille. - (2016), pp. 235-286. [10.1007/978-3-319-25082-3_5].

From Transit Systems to Models: Data Representation and Collection

GENTILE, Guido;
2016

Abstract

This chapter deals with the data that form input and output of passenger route choice models. All information about supply and demand that is relevant for passenger route choice must be captured in a formal way in order to be accessible to mathematical choice models. Over time standard conventions for this formalization have emerged. In order to avoid repetition in Part 3 they are presented once in Section 5.1. Similarly Section 5.2 formalizes the output of route choice models as quantitative indicators which are then fed back into higher-level decision models and ultimately into the evaluation of different investment options. Finally, Section 5.3 reviews real-world data sources from which either model input can be extracted or against which model output can be compared for validation and calibration. Here the impact of ITS is particularly visible, as availability, diversity and volume of data have increased rapidly.
2016
Modelling public transport passenger flows in the era of Intelligent Transport Systems
978-3-319-25080-9
978-3-319-25082-3
978-3-319-25080-9
978-3-319-25082-3
data collection
02 Pubblicazione su volume::02a Capitolo o Articolo
From Transit Systems to Models: Data Representation and Collection / Noekel, Klaus; Gentile, Guido; Nathanail, Efthia; Fonzone, Achille. - (2016), pp. 235-286. [10.1007/978-3-319-25082-3_5].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/899217
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