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Data-Driven Pedestrian Simulation Using Conditional Transition Maps
Örebro University, School of Science and Technology, Örebro University, Sweden.
2015 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [sv]

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.

Abstract [en]

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.

Place, publisher, year, edition, pages
2015. , 38 p.
National Category
Software Engineering
URN: urn:nbn:se:oru:diva-45439OAI: diva2:844152
Subject / course
Computer Engineering
2015-06-03, T213, Örebro universitet, Fakultetsgatan 1, 702 81, Örebro, 14:45 (English)
Available from: 2015-08-04 Created: 2015-08-04 Last updated: 2015-08-05Bibliographically approved

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