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May 9, 2026Transportation Research Part D Transport and EnvironmentOpen Access

Fuel efficiency in ferry services: GPS-based clustering and explainable AI

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Authors

RKRobert KlarNSNina SvenssonPSPetra Stelling

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Overview

Randomized trial examines fuel efficiency in ferry operations, suggesting improvements through AI-based insight.

Key Points

  • The research aims to enhance fuel efficiency in ferry operations by identifying consumption patterns through data analysis.
  • Utilized second-level GPS data combined with operational and environmental variables.
  • Employed unsupervised clustering and gradient boosting models for analysis.
  • Computed operational metrics including speed and wind exposure while segmenting vessel movements.
  • Achieved cluster classification accuracy of 94 percent in operational patterns.
  • Obtained coefficient of determination of 0.97 for accurate fuel consumption predictions.
  • Identified operational speed as the primary factor driving fuel consumption, alongside human influence from captain assignments.

Cite This Study

Klar et al. (2026) studied this question.

synapsesocial.com/papers/69fece83b9154b0b82875f62https://doi.org/10.1016/j.trd.2026.105403
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