The document describes a project called ITHAM that aims to build a robust and fully integrated alerting system for hazardous material transports. The project will involve collecting data from sensors on containers, analyzing the data using machine learning techniques to detect abnormal situations, and alerting transport managers and emergency responders in real-time to potential issues or emergencies. The system is intended to help monitor hazardous cargo transport by rail, road and other modes to help prevent accidents and protect people and the environment.