| Summary: | Fotgangarsimuleringar anvands frekvent vid planering av o entliga utrymmen, dar fotgangarbeteendet ar betydande for andamalet. Simuleringarna anvands saledes inom bade den privata och den o entliga sektorn. Pa senare tid har automatiserad analys av insamlad videodata om faktiska fotgangare blivit allt mer vanligt som en grund for validering inom forskningsomradet. Conditional Transition Maps utgor en representation av dynamiska element i en miljo, dar varje diskret cell i kartan associeras med en sannolikhetsdistribuering for overgangar till och fran cellen. CTMaps har tidigare anvants inom navigering for mobila robotar. Denna uppsats utgor en utredning av mojligheterna att anvanda en CTMap som en grund for en fotgangarmodell. CTM-datat som anvants i uppsatsen har tagits fram ur insamlad videodata om faktiska fotgangare. En fotgangarmodell har tagits fram, med hjalp av utvecklingsmiljon SeSAm, och jamforts med en redan etablerad modell for fotgangarsimulering. === Pedestrian simulation is widely used in both the public and private sector for designing public spaces, when pedestrian behavior is central to the design. Recently, automated analysis of recorded data of actual pedestrians has emerged as a means of introducing empirical validation in the eld of pedestrian simulation. Conditional Transition Maps represent dynamic elements of an environment as transition probabilities and map them to discrete oor-elds. These maps have been previously used for mobile robot navigation. This thesis constitutes an investigation into the possibilites of using a CTMap as a basis for a pedestrian simulation model. The CTMap used in the thesis has been produced by analyzing recorded video data of actual pedestrians. A pedestrian model based on the CTMap was developed, using SeSAm, and compared to an already established pedestrian simulation model.
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