Optimal Automated Vehicle Piloting: Avoiding Perfection being the Enemy of the Good

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dc.contributor.advisorNourinejad, Mehdi
dc.contributor.authorDhaness, Joshua Devindra
dc.date.accessioned2025-04-10T10:46:26Z
dc.date.available2025-04-10T10:46:26Z
dc.date.copyright2024-09-10
dc.date.issued2025-04-10
dc.date.updated2025-04-10T10:46:26Z
dc.degree.disciplineCivil Engineering
dc.degree.levelMaster's
dc.degree.nameMASc - Master of Applied Science
dc.description.abstractOptimal timing for automated vehicle (AV) pilot programs is essential to balance early implementation benefits against the goal of perfected safety. Although AV technology is not accident-free, it shows potential in reducing crash rates. This work introduces a mathematical framework designed to maximize social welfare through AV pilots, integrating elements such as safety metrics, technology diffusion, and learning effects. The framework’s three models address scenarios that social planners may encounter, offering flexibility in balancing initial risks with anticipated safety improvements over time. A case study illustrates these models, emphasizing the framework’s utility in navigating trade-offs like managing higher early failure rates while leveraging learning-based enhancements. By adjusting input parameters, planners can customize pilot designs to meet community needs. Future improvements, such as variable weighting and iterative testing, are proposed to enhance the framework’s adaptability and its capacity to capture critical AV deployment considerations.
dc.identifier.urihttps://hdl.handle.net/10315/42784
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subject.keywordsAutomated vehicles
dc.subject.keywordsAV
dc.subject.keywordsAVs
dc.subject.keywordsAutonomous vehicles
dc.subject.keywordsAV safety
dc.subject.keywordsTransportation planning
dc.subject.keywordsPilot deployment
dc.subject.keywordsSocial welfare optimization
dc.subject.keywordsDiffusion models
dc.subject.keywordsLearning effects
dc.subject.keywordsDisengagement rates
dc.subject.keywordsSocial costs
dc.subject.keywordsPublic transit integration
dc.subject.keywordsRisk minimization
dc.subject.keywordsTechnological advancement
dc.subject.keywordsAV pilot framework
dc.subject.keywordsSocial planner decision-making
dc.subject.keywordsAV case study
dc.subject.keywordsSafety improvements
dc.subject.keywordsTrade-offs in AV deployment
dc.subject.keywordsModel customization
dc.subject.keywordsAV adoption
dc.subject.keywordsDiffusion
dc.subject.keywordsAV pilot design
dc.titleOptimal Automated Vehicle Piloting: Avoiding Perfection being the Enemy of the Good
dc.typeElectronic Thesis or Dissertation

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