Agent-Based Modelling of Pedestrian Microscopic Interactions
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2016
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=osu1469074726 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-osu14690747262021-08-03T06:37:49Z Agent-Based Modelling of Pedestrian Microscopic Interactions El Helou, Rayan Automotive Engineering Engineering Mathematics pedestrian model agent individual characteristic external internal autonomous engineering control social navigation repulsion attraction goal target neighborhood obstacle environment boundary collision friction non-uniform leader 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. 2016-12-28 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1469074726 http://rave.ohiolink.edu/etdc/view?acc_num=osu1469074726 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
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NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Automotive Engineering Engineering Mathematics pedestrian model agent individual characteristic external internal autonomous engineering control social navigation repulsion attraction goal target neighborhood obstacle environment boundary collision friction non-uniform leader |
| spellingShingle |
Automotive Engineering Engineering Mathematics pedestrian model agent individual characteristic external internal autonomous engineering control social navigation repulsion attraction goal target neighborhood obstacle environment boundary collision friction non-uniform leader El Helou, Rayan Agent-Based Modelling of Pedestrian Microscopic Interactions |
| author |
El Helou, Rayan |
| author_facet |
El Helou, Rayan |
| author_sort |
El Helou, Rayan |
| title |
Agent-Based Modelling of Pedestrian Microscopic Interactions |
| title_short |
Agent-Based Modelling of Pedestrian Microscopic Interactions |
| title_full |
Agent-Based Modelling of Pedestrian Microscopic Interactions |
| title_fullStr |
Agent-Based Modelling of Pedestrian Microscopic Interactions |
| title_full_unstemmed |
Agent-Based Modelling of Pedestrian Microscopic Interactions |
| title_sort |
agent-based modelling of pedestrian microscopic interactions |
| publisher |
The Ohio State University / OhioLINK |
| publishDate |
2016 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=osu1469074726 |
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AT elhelourayan agentbasedmodellingofpedestrianmicroscopicinteractions |
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1719440490697326592 |