NEW APPROACH AND ALGORITHM FOR DYNAMIC SEGMENTATION IN THE PROCESS OF CALIBRATION OF AGGREGATED LOGIТ MODELS

Todor Razmov; Lyubomir Klyambarski

Scientific paper ID 1150 : 2015/3

NEW APPROACH AND ALGORITHM FOR DYNAMIC SEGMENTATION IN THE PROCESS OF CALIBRATION OF AGGREGATED LOGIТ MODELS

Todor Razmov, Lyubomir Klyambarski

A new approach and algorithm for dynamic segmentation in the process of calibration of aggregated logit models is proposed in this article. This approach consists of segmenting the travel demand (the O-D pairs) by trip length, but the segment size is dynamically defined in the process of calibration (dynamic segmentation).

These new approach and algorithm are tested in modeling the modal split between the two competing public transport modes in interurban passenger travels in Bulgaria – rail and bus. The modal split is calibrated using zonal data according the first level administrative subdivision of the country.

The results from the proposed approach are analyzed and evaluated.

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модален сплит агрегирани данни сегментиране полезност калибриране нормиранеmodal split aggregated data segmentation utility calibration standardizationTodor Razmov Lyubomir Klyambarski

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