Keywords: automatic train operation, driverless train operation, energy-saving train operation, optimisation, dynamic programming, energy-efficient train operation.

This paper provides an academic analysis of the evolution of Grades of Automation (GOA 1–4) in Japanese urban railways, elucidating the underlying technical and socio-economic drivers. Although Japan has long maintained the globally highly dense and punctual rail networks, the implementation of Driverless Train Operation (DTO) on existing heavy rail lines has been historically cautious, significantly influenced by a unique safety culture and stringent regulatory frameworks. Since 2019, however, the urgent social change of a rapidly shrinking working-age population has dramatically accelerated public-private Automatic Train Operation (ATO) initiatives. This paper highlights the strategic significance of Japanese unique "GOA 2.5" (ATO with an onboard attendant at train head) and offers a comprehensive overview of recent academic advancements in Energy-Saving Train Operation (ESTO) – regarded as a primary secondary benefit of automation. Specifically, we detail the mathematical principles and implementation methodologies of experimental research on linear motor subways, as well as run-curve optimization based on the "Equivalent Gradient Rule" and fast algorithms for "Cooperative Energy Exchange" among multiple trains. Finally, the paper discusses how the Japanese philosophy of railway systems – which integrates stringent punctuality with long-term sustainability – contributes to enhancing international competitiveness in the global market.

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