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OverviewThe monograph explores the application of artificial intelligence to predict and mitigate risks in hazardous cargo transportation. It reviews AI-based accident prediction, telematics integration, and adaptive route optimization methods tailored for U.S. highways. Special attention is given to machine learning models for risk forecasting, reinforcement-learning route planners, and digital safety ecosystems aligned with U.S. DOT and FMCSA frameworks. The study demonstrates how AI transforms hazmat logistics from reactive compliance to proactive, data-driven safety management. Full Product DetailsAuthor: Aleksandr SnurnikovPublisher: LAP Lambert Academic Publishing Imprint: LAP Lambert Academic Publishing Dimensions: Width: 15.20cm , Height: 0.40cm , Length: 22.90cm Weight: 0.109kg ISBN: 9786209184888ISBN 10: 620918488 Pages: 72 Publication Date: 31 October 2025 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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