Date of Award:

5-2015

Document Type:

Dissertation

Degree Name:

Doctor of Philosophy (PhD)

Department:

Electrical and Computer Engineering

Committee Chair(s)

YangQuan Chen

Committee

YangQuan Chen

Committee

Keith Christensen

Committee

Todd Moon

Committee

Donald Cripps

Committee

Rees Fullmer

Abstract

Nearly one quarter of a population is affected by a disability which influences crowd evacuation. Emergencies such as stampede or crowd crush can occur during evacuations. While research has investigated crowd evacuation, little has been researched involving individuals with disabilities. There is a need to understand and model individuals with disabilities in their interaction and how it impacts crowd movement. This dissertation creates a video tracking system to study heterogeneous crowds with individuals with disabilities towards conducting crowd experiments. A large-scale crowd experiment is conducted and the results are analyzed through a developed analysis graphical user interface. Preliminary results of the experiment demonstrate differences in the velocities and overtaking perception of various groups with physical disabilities. This dissertation uses these results to present a hybrid Social Force model that can capture the overall overtake behavior of the empirical data. Finally, future research goals are discussed in the eventual development of a Mass Pedestrian Evacuation system for crowds with individuals with disabilities. Lessons form this dissertation are discussed towards of crowd control.

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