Agent-Based Modelling and Simulation of Sidewalk Delivery Robots' Interaction with Pedestrians

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dc.contributor.advisorSohn, Gunho
dc.contributor.authorHassan, Ali
dc.date.accessioned2023-12-08T14:48:52Z
dc.date.available2023-12-08T14:48:52Z
dc.date.issued2023-12-08
dc.date.updated2023-12-08T14:48:50Z
dc.degree.disciplineEarth & Space Science
dc.degree.levelMaster's
dc.degree.nameMSc - Master of Science
dc.description.abstractIn 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.
dc.identifier.urihttps://hdl.handle.net/10315/41776
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectUrban planning
dc.subjectRobotics
dc.subjectTransportation planning
dc.subject.keywordsSidewalk Autonomous Delivery Robots
dc.subject.keywordsSADRs
dc.subject.keywordsSmart cities
dc.subject.keywordsPedestrian interactions
dc.subject.keywordsSimulation
dc.subject.keywordsGIS-enhanced digital twin
dc.subject.keywordsUrban planning
dc.subject.keywordsRobot-human coexistence
dc.subject.keywordsCollision avoidance
dc.subject.keywordsPredictive Avoidance Model
dc.subject.keywordsPAM
dc.subject.keywordsAgent-based modeling
dc.subject.keywordsSteering behaviours
dc.subject.keywordsSafety buffers
dc.subject.keywordsSidewalk congestion
dc.subject.keywordsProximity infringements
dc.subject.keywordsUrban environments
dc.subject.keywordsMulti-agent systems
dc.subject.keywordsSafety protocols
dc.subject.keywordsDesign interventions
dc.subject.keywordsPolicy implications
dc.subject.keywordsCollision risks
dc.subject.keywordsPedestrian movement
dc.subject.keywordsUrban policymakers
dc.subject.keywordsEvidence-based learning
dc.titleAgent-Based Modelling and Simulation of Sidewalk Delivery Robots' Interaction with Pedestrians
dc.typeElectronic Thesis or Dissertation

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