  In recent years, open-pit mining has seen significant advancement, the
cooperative operation of various specialized machinery substantially enhancing
the efficiency of mineral extraction. However, the harsh environment and
complex conditions in open-pit mines present substantial challenges for the
implementation of autonomous transportation systems. This research introduces a
novel paradigm that integrates Scenario Engineering (SE) with autonomous
transportation systems to significantly improve the trustworthiness,
robustness, and efficiency in open-pit mines by incorporating the four key
components of SE, including Scenario Feature Extractor, Intelligence and Index
(I&I), Calibration and Certification (C&C), and Verification and Validation
(V&V). This paradigm has been validated in two famous open-pit mines, the
experiment results demonstrate marked improvements in robustness,
trustworthiness, and efficiency. By enhancing the capacity, scalability, and
diversity of autonomous transportation, this paradigm fosters the integration
of SE and parallel driving and finally propels the achievement of the '6S'
objectives.
