IMPROVED ALGORITHMS FOR CALIBRATING GRAVITY MODELS

作者: N J van Zijpp , B G Heydecker

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摘要: This paper deals with the calibration of gravity models as a means to estimate Origin-Destination (OD) trip matrices from aggregated data sources such traffic counts and tri-end constraints. Generally, many OD-matrices can be constructed that reproduce given set observations. Therefore under-specification characterizes OD-estimation problem needs resolved. done by requiring OD-values conform model travel demand. Several approaches this kind have been discussed in literature are being used practice. In paper, authors consider class methods based on model, either an exponential or piecewise constant deterrence function. The focuses numerical calibrate these establish unifying analysis them.

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