Yet, as is the case with AI in many other industries, the adoption of these applications currently varies across industries and geographies. The compatibility of AI to transportation applications is a somewhat natural fit. We explore each of the applications and the future of their technology roadmap in more detail below. AI applications in railway cargo transportation.What can we expect in terms of the technology roadmap going forward?īased on the applications revealed in our research, we segment AI in the transportation industry as follows:.
What are the current use-cases artificial intelligence transportation?.What AI technologies are currently applied in transportation applications? What is involved in the process of AI integration for these applications?.Over the course of this article we aim to answer the following questions: Major challenges in the transportation industry like capacity problems, safety, reliability, environmental pollution, and wasted energy are providing ample opportunity (and potential for high ROI) for AI innovation.įor the sake of this article, ‘transportation’ will include all technologies that move people and cargo. The transportation domain is beginning to apply Artificial Intelligence (AI) in mission-critical tasks (for example, self-driving vehicles carrying passengers) where the reliability and safety of an AI system will be under question from the general public.
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