Investigating the impact of high-altitude on vehicle carbon emissions: A comprehensive on-road driving study-Reference-Cited by-同舟云学术

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Investigating the impact of high-altitude on vehicle carbon emissions: A comprehensive on-road driving study

Published:2024-03 Issue: Volume:918 Page:170671
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Jiang Zhiwen,Wu Lin,Niu Haomiao,Jia Zhenyu,Qi Zhaoyu,Liu Yan,Zhang Qijun,Wang Ting,Peng Jianfei,Mao Hongjun

Funder

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Reference43 articles.

1. Comparison of machine learning approaches with a general linear model to predict personal exposure to benzene;Aquilina;Environ. Sci. Technol.,2018

2. Random Forests;Breiman;Mach. Learn.,2001

3. Nox emissions from diesel cars increase with altitude;Chen;Transp. Res. Part D: Transp. Environ.,2023

4. Real-world fuel consumption, gaseous pollutants, and CO2 emission of light-duty diesel vehicles;Chong;Sustain. Cities Soc.,2020

5. Effects of driving behavior on real-world emissions of particulate matter, gaseous pollutants and particle-bound PAHs for diesel trucks;Dhital;Environ. Pollut.,2021

Cited by 4 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. CO2 emission characteristics of China VI hybrid vehicles;Transportation Research Part D: Transport and Environment;2024-10

2. MILP-Based Approach for High-Altitude Region Pavement Maintenance Decision Optimization;Applied Sciences;2024-08-30

3. Comparative Analysis of Energy Consumption between Electric Vehicles and Combustion Engine Vehicles in High-Altitude Urban Traffic;World Electric Vehicle Journal;2024-08-07

4. Exploring the key influencing factors of low-carbon innovation from urban characteristics in China using interpretable machine learning;Environmental Impact Assessment Review;2024-07

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