Roadway tunnels: A critical review of air pollutant concentrations and vehicular emissions

S Marinello, F Lolli, R Gamberini - Transportation Research Part D …, 2020 - Elsevier
Air quality is a widespread problem with the presence of pollutants in indoor and outdoor
environments that generate significant consequences for the population, ecosystems and …

Effective and acceptable eco-driving guidance for human-driving vehicles: A review

R Tu, J Xu, T Li, H Chen - … journal of environmental research and public …, 2022 - mdpi.com
Eco-driving guidance refers to courses, warnings, or suggestions provided to human drivers
to improve driving behaviour to enable less energy use and emissions. This paper reviews …

Prediction of short-term ultrafine particle exposures using real-time street-level images paired with air quality measurements

J Xu, M Zhang, A Ganji, K Mallinen… - Environmental …, 2022 - ACS Publications
Within-city ultrafine particle (UFP) concentrations vary sharply since they are influenced by
various factors. We developed prediction models for short-term UFP exposures using street …

River ecological flow early warning forecasting using baseflow separation and machine learning in the Jiaojiang River Basin, Southeast China

H Chen, S Huang, YP Xu, RSV Teegavarapu… - Science of the Total …, 2023 - Elsevier
Ecological flow early warning is crucial for the rational management of watershed water
resources. However, determining of accurate ecological flow threshold and choosing the …

An efficient driver behavioral pattern analysis based on fuzzy logical feature selection and classification in big data analysis

M Malik, R Nandal, S Dalal, U Maan… - Journal of Intelligent & …, 2022 - content.iospress.com
In recent years, driver behavior analysis plays a vital role to enhance passenger coverage
and management resources in the smart transportation system. The real-world environment …

Identification of soil texture classes under vegetation cover based on Sentinel-2 data with SVM and SHAP techniques

Y Zhou, W Wu, H Wang, X Zhang… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Understanding the spatial variability of soil texture classes is essential for agricultural
management and environment sustainability. Sentinel-2 data offer valuable vegetation …

Energy and greenhouse gas implications of shared automated electric vehicles

M Saleh, A Milovanoff, ID Posen, HL MacLean… - … Research Part D …, 2022 - Elsevier
Automated vehicles can facilitate vehicle sharing within and between households, thus
decreasing ownership rates, albeit increasing miles travelled. While electrification can …

Prediction of instantaneous particle number for light-duty gasoline vehicles under real driving conditions based on ensemble learning

P Qiao, J Ni, R Huang, Z Cheng - Journal of Cleaner Production, 2024 - Elsevier
With increasingly stringent emission regulations for particle number (PN) from real driving
emissions (RDE), accurate prediction and evaluation of instantaneous PN emissions from …

Unsupervised driving style analysis based on driving maneuver intensity

XS Li, XT Cui, YY Ren, XL Zheng - IEEE Access, 2022 - ieeexplore.ieee.org
This paper proposes a novel unsupervised clustering framework to identify driving style not
in terms of the discrete features of driving behavior data, but rather the time-varying patterns …

Assessing the influencing factors of soil susceptibility to wind erosion: A wind tunnel experiment with a machine learning and model-agnostic interpretation approach

Y Zhao, G Gao, G Ding, L Wang, Y Chen, Y Zhao, M Yu… - Catena, 2022 - Elsevier
Soil wind erosion is a worldwide environmental concern. This study explored the feasibility
of using a machine learning (ML) algorithm with a model-agnostic interpretation approach to …