曹泽平

曹泽平

硕士研究生，环境工程，南开大学

出版物

你也可以在我的谷歌学术找到我的已发表文章。

Journal Articles

Reconstructing Missing NOx Emissions in Heavy-Duty Diesel Vehicle OBD Data：A Machine learning approach

Published in Journal of Hazard Materials, 2025

This article presents a data-driven method for imputing missing OBD data, aiming to reconstruct the real-world emission profiles of HDDVs.

Recommended citation: Cao, Z. et al. Reconstructing missing NOx emissions in heavy-duty diesel vehicle OBD data: A machine learning approach. Journal of Hazardous Materials 494, 138619, doi:https://doi.org/10.1016/j.jhazmat.2025.138619 (2025).
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A transferable vehicle energy consumption evaluation framework for quantifying vehicle electrification energy benefits

Published in NPJ Sustainable Mobility and Transport, 2025

This study proposes a cross-regional vehicle energy consumption assessment framework. Real-world driving data are first used, in combination with Markov chains, to construct a regional driving cycle database. This database is then coupled with machine learning models to estimate energy consumption across different regions.

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A Comprehensive OBD Data Analysis Framework: Identification and Factor Analysis of High-Emission Heavy-Duty Vehicles

Published in Environmental Pollution, 2025

The study utilizes OBD data from OBM big data platform and develops a comprehensive data analysis framework that integrates data preprocessing, high-emission vehicle identification, and factor analysis using both binning and machine learning approaches.

Recommended citation: Cao Z, Shi K, Qin H, et al. A Comprehensive OBD Data Analysis Framework: Identification and Factor Analysis of High-Emission Heavy-Duty Vehicles[J]. Environmental Pollution, 2025: 125751.
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