Definition and classification of parameters for daily activity chain optimization

A growing trend is observable towards flexible mobility solutions, especially regarding the flexibility in times and locations of the activities. This indicates a complex optimization problem, where many parameters have to be considered. Our paper deals with the optimization of daily activity chains, which is the optimization of series of activities during a certain time period for several parameters. In order to build the optimization framework a roadmap was elaborated. First the optimization parameters have to be defined and ideal target groups have to be identified. Then an optimization algorithm has to be implemented, where different transportation modes and personal preferences have to be taken into account. This results in a personalized and optimized activity chain for urban citizens. As the first point of the roadmap, the parameters were defined, which are connected to the user, to the chosen transportation mode or to the location type of the activity. Then a general utility function was defined to provide a calculation method for the optimization of activity chains.