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Parameter Calibration of Gravity ModelConsidering Future Travel Patterns

LIMYONGTAEK 1 KIM, SANGGU 1

1전남대학교

Accredited

ABSTRACT

This paper presents a parameter calibration method for gravity model. Among the several methods such as Fratar method, entropy maximization method and growth factor method in trip distribution step of conventional travel demand forecasting process, the gravity model has been widely used in real fields because it may describe the travel behaviors of users in more detail. Most existing methods, however, rely on the current data for calibrating the parameters in gravity model, which implicitly assumes that the current travel pattern would be kept for the future. But this assumption is unrealistic because the travel pattern may be changeable as the time goes. To cope with such limit, we propose a parameter calibration method, which contains the future travel patterns in the calibration process. A mathematical formulation and its solution method are presented. A numerical example is also given.

Citation status

* References for papers published after 2023 are currently being built.