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Agent-Based Modelling of Pedestrian Microscopic Interactions

El Helou, Rayan

Abstract Details

2016, Master of Science, Ohio State University, Electrical and Computer Engineering.
Intelligent transportation systems and smart cities are heavily based around the understanding of human values and characteristics in order to build systems that are safe and habitable for the populous. Naturally, crowds of people interact in ways that are unpredictable, yet by modelling their interactions we may react accordingly by building suitable systems that sustain safe and efficient flow of crowds. This thesis proposes a model for pedestrian interactions, categorized by tangible and intangible characteristics. One may theoretically model pedestrian motion and interaction more accurately than there has ever been, yet the fundamental problem is that execution efficiency and model accuracy conflict. A study is conducted in this thesis of pre-existing models and of the criteria used to judge accuracy and efficiency in them. Furthermore, pedestrians are classified and categorized according to their capabilities as individuals and how they relate to the overall crowd. In our previous research at the Center for Automotive Research, we investigated agent-based models of pedestrians. We considered the case study in which buses in a metro station load pedestrians and unload passengers, and compared the crowd behavior around bus entrances with respect to changes in time delay of bus arrivals at different entrances. Here, we use a more complex agent-based model in which pedestrians have more realistic characteristics. For example, pedestrians were previously considered as point-masses, but now, they have a border on which contact may be felt by other agents. Obstacles have been added as agents in order to add detail to the model and to extend it to include more elements of the urban environment. Human behavior has been considered to define the effect of social phenomena on crowd flow. Concept introduced are demonstrated in the form of simulations, and the results are captured to visualize our model.
Ümit Özgüner (Advisor)
Keith Redmill (Committee Member)
104 p.

Recommended Citations

Citations

  • El Helou, R. (2016). Agent-Based Modelling of Pedestrian Microscopic Interactions [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469074726

    APA Style (7th edition)

  • El Helou, Rayan. Agent-Based Modelling of Pedestrian Microscopic Interactions. 2016. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1469074726.

    MLA Style (8th edition)

  • El Helou, Rayan. "Agent-Based Modelling of Pedestrian Microscopic Interactions." Master's thesis, Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469074726

    Chicago Manual of Style (17th edition)