Study of Route Choice Model Based on Different Choice Rules

Random utility route choice models play a central role in stochastic assignment to road networks. The usually adopted specifications for such models are Multinomial Logit (MNL) and Probit, both having pros and cons. In this paper a modified specification of the Logit model, named M-Logit, is proposed. The M-Logit overcomes the main shortcoming of MNL,i.e. unrealistic choice probabilities for paths sharing a number of links, while keeping a closed analytical structure allowing calibration on disaggregate data and efficient path flow computations when paths are explicitly enumerated. A behavioural interpretation of the M-Logit model is proposed by presenting it as a particular case of a wider class of implicit joint models of route perception-choice.