Artificial Intelligence in Hazardous Cargo Transportation

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.