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Modal Logit Mode (computer interface) Function (biology) Mode choice Population Mixed logit Set (abstract data type) Computer science Public transport Process (computing) Task (project management) Econometrics Logistic regression Transport engineering Mathematical optimization Engineering Mathematics Machine learning Systems engineering Sociology Operating system Programming language Demography Chemistry Polymer chemistry Evolutionary biology Biology

Michal Cingel , Ján Čelko , Marek Drličiak ·

YOU? · · 2019 · Open Access · · DOI: https://doi.org/10.1016/j.trpro.2019.07.028 · OA: W2964858340

The paper deals with the parameterization of the calculation of the modal split in the four-step model determining the traffic prognosis. Multiple Logit model theory is the process of calculating the modal split, the model is in common use for transport modelling. Its advantage is that we can choose from more independent variables. The estimation of Logit function parameters is based on transport and sociological survey in Žilina region. The Biogeme program will be used for the calculation. The primary task is to create a set of Logit function performance parameters for Žilina region conditions. The choice of a specific transport mode of transport is expressed by the utility function. The function is used in a disaggregated model for individual groups of the population. Groups are characterized by their behaviour in the transport process. The disaggregated model involves simulating the behaviour of individuals in time, space, and their subsequent aggregation into the resulting transport relations of the territory. The modal split will be taken into account in the trip distribution by transport modes: car - driver, car - passenger, public transport, cycling and pedestrian transport.