This paper presents (preliminary) results of a descriptive route choice analysis of cyclists in Zurich. Raw GPS trajectories from the MOBIS-COVID dataset are matched to an enriched OSM network. Two different map-matching algorithms are evaluated based on their sensitivity to hyper-parameters as well as different network configurations. The results of this paper lay the ground work for future modelling of the data using discrete route ...

Microsimulation tools are becoming increasingly important in traffic demand modeling. The major advantage over traditional assignment models lies in the fact that each traveler is simulated individually. This means, for example, that decision making processes can be included for each individual. The traffic demand is a result of different decisions made by each individual. Those decisions lead to plans which the individuals try to optimize. ...

Analysis of long-distance travel demand has become more relevant in recent times. The reason is the growing share of traffic induced by journeys related to remote activities, which are not part of daily life. In today’s mobile world, these journeys are responsible for almost 50 percent of the overall traffic. Consequently, there is a need of reliable long-distance travel forecast tools. A potential tool is an agent-based simulation. Due ...