Using technology assisted surveying to improve the choice modelling for traffic simulations

Travel surveys often serve as the primary input for the creation of traffic simulations models, in particular as the data basis for the estimation of mode choice models. In this paper we investigate the differences of technologically assisted data (TAD) and conventional travel survey data for mode choice modelling. We describe the necessary steps to enable the use of TAD for mode choice modelling like data pre-processing, choice set generation and the adaptation of the travel times in the choice set to fit those in the TAD. Model estimation shows that TAD enables a better prediction of modal splits compared to the models estimated on the conventional survey data. Furthermore TAD offers a clear advantage when predicting walking times in the trips. Lastly, the influence of misclassification in the automated mode detection on the prediction of modal split and walking times is studied. Finally, a short overview is given on how TAD can be used for route choice modelling which is a further advantage of the new collection technology.