A bi-level distribution mixture framework for unsupervised driving performance evaluation from naturalistic truck driving data

A Systematic Methodology to Evaluate Prediction Models for Driving Style Classification

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Mass load prediction for lithium-ion battery electrode clean production: A machine learning approach

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Systematic Review of the Literature on Big Data in the Transportation Domain: Concepts and Applications

(2019) Alex Neilson et al.   Big Data Research

The application of machine learning techniques for driving behavior analysis: A conceptual framework and a systematic literature review

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Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-Ion Batteries

(2019) Kailong Liu et al.   IEEE Transactions on Transportation Electrification

Gaussian Process Regression With Automatic Relevance Determination Kernel for Calendar Aging Prediction of Lithium-Ion Batteries

(2019) Kailong Liu et al.   IEEE Transactions on Industrial Informatics

Recognizing driving styles based on topic models

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Driver behaviour, truck motion and dangerous road locations – Unfolding from emergency braking data

(2014) Zoltán Fazekas et al.   TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW

Real-time driving danger-level prediction

(2010) Jinjun Wang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Preliminary classification of driving style with objective rank method

(2009) A. Augustynowicz   INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY