Resumen
Route planners are widely used nowadays. There are several available solutions that can support travelers planning their routes, however the number of combined route planners are low. Moreover, in most cases the customization possibilities are limited. To plot the importance of this, the application called Waze is a good example. Sometimes users know better alternatives or have other wishes what the software couldn?t take into account. In this case the traveler generated personal data could be used in order to fulfil user requirements. Based on a previous research a multimodal technic is used in this paper. This routing algorithm was developed and prepared to recognize and take into account the habits of the travelers, to reach this a model was constructed which involves these parameters. The effects of different parameter sets are analyzed additionally an on-line survey was performed to determine the importance of habit factors.