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Artificial Intelligence in Hazardous Cargo Transportation

By Aleksandr Snurnikov

Artificial Intelligence in Hazardous Cargo Transportation

By Aleksandr Snurnikov

0 - Default Title
Description
The 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.
Product details
Binding:
Paperback
Number of Pages:
72
Release Date:
2025-10-31
Publication Date:
2025-10-31
Publisher:
LAP LAMBERT Academic Publishing
Languages:
Original: English
ISBN10:
620918488X
ISBN13:
9786209184888
Weight:
125 g
Height:
150 cm
Width:
220 cm
Thickness:
5 cm
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