Transportation typically entails crucial "life-death" choices,
delegating crucial decisions to an AI algorithm without any explanation
poses a serious threat. Hence, explainability and responsible AI is
crucial in the context of intelligent transportation. In Intelligence
Transportation System (ITS) implementations such as traffic management
systems and autonomous driving applications, AI-based control mechanisms
are gaining prominence.
Explainable artificial intelligence for intelligent transportation
system tackling certain challenges in the field of autonomous vehicle,
traffic management system, data integration and analytics and monitor
the surrounding environment.
The book discusses and inform researchers on explainable Intelligent
Transportation system. It also discusses prospective methods and
techniques for enabling the interpretability of transportation systems.
The book further focuses on ethical considerations apart from technical
considerations.