Driving Simulator Project
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Driving Simulator Project

Filetype[PDF-4.69 MB]


  • English

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    • TRIS Online Accession Number:
      01651544
    • Abstract:
      According to a traveler opinion and perception survey of 2005, 107.4 million Americans use walking as a regular mode of travel, which amounts to 51% of the American population. In 2009, 4092 pedestrian fatalities have been reported nationwide with a fatality rate of 1.33 which totals 59,000 crashes. Also, pedestrians are over represented in crash data by accounting for more than 12% of fatalities but on 10.9% of trips. This makes a perfect case for understanding the causes behind such statistics, calling for a continuous research on pedestrian walking behavior and their interactions with surroundings. Current research in pedestrian simulation focuses on surveys and mathematical simulation models such as macroscopic and microscopic dynamic models involving autonomous entities. The surveys represent the perception of individuals while mathematical simulation severely limits the capacity to capture the effect of human factors in the understanding of pedestrian interactions. Complicated psychological models are used to a certain extent for understanding of such problems but are incapable to estimate the diversity of human behavior. To capture tendencies of people, they need to be a part of research, under a safe and controlled environment. In this thesis, an attempt has been made to develop a module which can be used to track human walk gesture and map it to actual human walk. Then, this module could be implemented in a system aimed to understand pedestrian behavior. Following are the accomplishments of this thesis: (1) Built an Application Programming Interface (API) to use with software interface to capture human motion; and (2) Built a mathematical framework for abstracted dynamical system, for the purpose of pedestrian interface in simulation engine. Eventually this is expected to contribute towards state-of-the-art research which aims at understanding pedestrian dynamics in transportation safety and planning. The module described is expected to work real-time as a separate entity.
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