A machine learning approach capturing the effects of driving behaviour and driver characteristics on trip-level emissions-Reference-Cited by-同舟云学术

A machine learning approach capturing the effects of driving behaviour and driver characteristics on trip-level emissions

Published:2020-03 Issue: Volume:224 Page:117311
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Xu Junshi^ORCID,Saleh Marc,Hatzopoulou Marianne^ORCID

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference36 articles.

1. Network-wide traffic and environmental impacts of acceleration and deceleration among Eco-Driving Vehicles in different road configurations;Alam;Transport. Plann. Technol.,2018

2. A critical review and assessment of Eco-Driving policy & technology: benefits & limitations;Alam;Transport Pol.,2014

3. Contributions of tire wear and brake wear to particulate matter emissions inventories for on-road mobile sources;Bai;Int. Emiss. Invent. Conf.,2015

4. Energy and emissions impacts of a freeway-based dynamic eco-driving system;Barth;Transport. Res. Transport Environ.,2009

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. High Fuel Consumption Driving Behavior Causal Analysis Based on LightGBM and SHAP;Iranian Journal of Science and Technology, Transactions of Civil Engineering;2024-07-26

2. Non-linear effects of CO2 emissions from road transport in port landside area;Transportation Research Part D: Transport and Environment;2024-07

3. Prediction of instantaneous particle number for light-duty gasoline vehicles under real driving conditions based on ensemble learning;Journal of Cleaner Production;2024-01

4. Using machine learning to understand driving behavior patterns;Procedia Computer Science;2024

5. Modeling driving styles of online ride-hailing drivers with model identifiability and interpretability;Travel Behaviour and Society;2023-10