The main objective of this work is the specification, calibration and validation of a path choice model distinguishing the two main phases of choice set generation and path choice among the alternatives belonging to the choice set. Choice set generation was performed with a selective multicriteria approach, the path choice using random utility model (RUM) and non-RUMmodel. As regards the RUM, in addition to the previous models (Multinomial Logit and C-Logit), in this new version of this study a Path-Size model is specified; regarding the non-RUM, updating involved the specification of a fuzzy model. In the fuzzy model, path systematic utility is consideredthe core of a fuzzy number. Utility is calculated, as with the RUM, but in this case for every alternative the possibility is calculated (not the RUM probability) that its utility is the greatest. These possibilities weretransformed, adopting an appropriate criterion, into choice percentages. Path choice models were specified and calibrated on some test networks andalso on a real network at national level. Calibration was carried out on a truck-drivers' road-side survey, and validation on other data obtained with an on-board vehicle survey. For the covering abstract see ITRD E145999
Abstract