Advanced OR and AI Methods in Transportation CALIBRATION OF A CONCEPTUAL LUTI MODEL BASED ON NEURAL NETWORKS
نویسندگان
چکیده
This paper deals with Land-use-Transport-Interaction (LUTI) and presents the calibration of a neural network based LUTI modeling tool. Literature survey reveals that currently used land use transport models are too aggregate in substance to match travel demand models. Therefore, we look for an alternative approach by researching: (i) different solution methods to make LUTI models more applicable; (ii) a sound way to operationalise these solution methods; (iii) a suitable modeling technique to be used in this context; (iv) the calibration of this model. It is concluded Artificial Neural Networks (ANNs) are suitable for LUTI models and that calibration of a data driven LUTI model is possible.
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تاریخ انتشار 2005