Abstract

In recent years, the funding of bicycle traffic especially in European countries has increased substantially."br" Nevertheless, bicycles are often not depicted in detail within traffic models. Especially for bicycle traffic, research"br" just started to contribute better understandings of spatio-temporal distribution of cycle trips. Without realistic"br" bicycle models, neither the initial state can be consistently evaluated, nor can an assessment of the effectiveness"br" measures be carried out. Within this paper, we focus on a framework for routing and utility calculation of bicycle"br" trips within agent-based simulation environment. Therefore, we consider influencing factors, coming from"br" environment or infrastructure side. As bicyclists do not necessarily take the shortest path, we developed an edge"br" weight calculation to feed the Dijkstra Algorithm. With it a unique route for each person is found. Every person"br" perceives a utility for the chosen route, dependent on the conceived friendliness of cycling. In further consequence"br" this paper represents the base work for the simulation of e-bike sharing and intermodal trips involving bicycles.