An integrated pedestrian behavior model based on extended decision field theory and social force model

Authors:
Hui Xi;Young-Jun Son;Seungho Lee
Affiliations:
The University of Arizona, Tucson, AZ;The University of Arizona, Tucson, AZ;Samsung Electronics Co. Ltd., Suwon-City, Republic of Korea
Venue:
Proceedings of the Winter Simulation Conference
Year:
2010

Citing 2
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Abstract

A novel pedestrian behavior model is proposed, which integrates 1) Extended Decision Field Theory (EDFT) for tactical level human decision-making, 2) Social Force model (SFM) to represent physical interactions and congestions among the people and the environment, and 3) dynamic planning algorithm involving AND/OR graphs. Furthermore, the Social Force model is enhanced with the vision of each individual, and both individual behaviors as well as group behaviors are considered. The proposed model is illustrated and demonstrated with a shopping mall scenario. Literature survey and observations have been conducted at the mall for data collection and partial validation of the proposed model. The constructed simulation using AnyLogic® software was utilized to conduct several experiments on performance of the mall and scalability of the proposed model.