{"id":{"repo_id":"york","oai_identifier":"oai:yorkspace.library.yorku.ca:10315/41776"},"canonical_url":"https://search.dev.ndltd.org/etd/york/oai:yorkspace.library.yorku.ca:10315/41776","repository":{"repo_id":"york","name":"York University","base_url":"https://yorkspace.library.yorku.ca/oai/request"},"display":{"title":"Agent-Based Modelling and Simulation of Sidewalk Delivery Robots' Interaction with Pedestrians","abstract":"In the evolving urban landscape, the surge of Sidewalk Autonomous Delivery Robots (SADRs) calls for insights into their pedestrian interactions. This thesis explores these dynamics and presents a novel web-based simulator, \"TwinWalk\", to emulate such interactions. Rooted in a GIS-enhanced digital twin of a campus-like urban setting, TwinWalk employs agent-based modeling, steering behaviours, and the Predictive Avoidance Model (PAM) to illustrate collision scenarios and human-robot interactions. Experiments reveal that while SADRs maintain safety buffers, they pose collision risks. Notably, pedestrians often breach safety distances, implicating them in proximity issues. This emphasizes the need for further research and specialized safety measures. The simulator aids urban planners and researchers in assessing design interventions and policies. The study suggests that enlarged safety zones around robots can reduce collisions and enhance pedestrian flow, promoting harmonious robot-human urban coexistence.","abstract_html":"In the evolving urban landscape, the surge of Sidewalk Autonomous Delivery Robots (SADRs) calls for insights into their pedestrian interactions. This thesis explores these dynamics and presents a novel web-based simulator, &quot;TwinWalk&quot;, to emulate such interactions. Rooted in a GIS-enhanced digital twin of a campus-like urban setting, TwinWalk employs agent-based modeling, steering behaviours, and the Predictive Avoidance Model (PAM) to illustrate collision scenarios and human-robot interactions. Experiments reveal that while SADRs maintain safety buffers, they pose collision risks. Notably, pedestrians often breach safety distances, implicating them in proximity issues. This emphasizes the need for further research and specialized safety measures. The simulator aids urban planners and researchers in assessing design interventions and policies. The study suggests that enlarged safety zones around robots can reduce collisions and enhance pedestrian flow, promoting harmonious robot-human urban coexistence.","abstract_has_math":false,"creators":["Hassan, Ali"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Sohn, Gunho"],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-12-08","date_published":"2023-12-08","updated_at":"2026-07-24T06:33:43Z","subjects":["Urban planning","Robotics","Transportation planning"],"languages":["en"],"rights":["Author owns copyright, except where explicitly noted. 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