A microscopic model of vehicle co₂ emissions based on deep learning—A spatiotemporal analysis of taxicabs in Wuhan, China
It is important to assess environmental impact of intelligent transportation systems, and
hence developing a vehicle emission model with high accuracy has been a long-standing …
hence developing a vehicle emission model with high accuracy has been a long-standing …
[HTML][HTML] A Deep Learning Micro-Scale Model to Estimate the CO2 Emissions from Light-Duty Diesel Trucks Based on Real-World Driving
R Zhang, Y Wang, Y Pang, B Zhang, Y Wei, M Wang… - Atmosphere, 2022 - mdpi.com
On-road carbon dioxide (CO2) emissions from light-duty diesel trucks (LDDTs) are greatly
affected by driving conditions, which may be better predicted with the sequence deep …
affected by driving conditions, which may be better predicted with the sequence deep …
Identification of on-road vehicle CO2 emission pattern in China: a study based on a high-resolution emission inventory
Y Xu, Z Liu, W Xue, G Yan, X Shi, D Zhao… - Resources …, 2021 - Elsevier
As the country with the largest anthropogenic CO 2 emission, China is greatly influential on
fighting with climate change. However, CO 2 emitted from on-road vehicles in China is a …
fighting with climate change. However, CO 2 emitted from on-road vehicles in China is a …
Emission modeling for new-energy buses in real-world driving with a deep learning-based approach
Y Pan, W Zhang, S Niu - Atmospheric Pollution Research, 2021 - Elsevier
Nowadays, new energy bus is gradually replacing those with diesel engines with its better
environmental protection characteristics. As one of the main types of new energy buses …
environmental protection characteristics. As one of the main types of new energy buses …
A Comparative Study of Machine Learning and Deep Learning Techniques for Prediction of CO Emission in Cars
The most recent concern of all people on the Earth is the increase in the concentration of
greenhouse gas in the atmosphere. The concentration of these gases has risen rapidly over …
greenhouse gas in the atmosphere. The concentration of these gases has risen rapidly over …
[HTML][HTML] Forecasting carbon dioxide emissions of light-duty vehicles with different machine learning algorithms
Accurate estimation of fuel consumption and emissions is crucial for assessing the impact of
materials and stringent emission control techniques on climate change, particularly in the …
materials and stringent emission control techniques on climate change, particularly in the …
Spatiotemporal graph convolution multifusion network for urban vehicle emission prediction
Urban vehicle emission prediction can help the regulation of vehicle pollution and traffic
control. However, it is hard to predict the spatiotemporal variation of vehicle emission …
control. However, it is hard to predict the spatiotemporal variation of vehicle emission …
Evaluation of energy-environmental-economic benefits of CNG taxi policy using multi-task deep-learning-based microscopic models and big trajectory data
Natural gas has been widely recognized as an economic and environmental-friendly
alternative fuel in the transport sector. Many cities have implemented the policy to …
alternative fuel in the transport sector. Many cities have implemented the policy to …
[HTML][HTML] Uncovering the CO2 emissions of vehicles: A well-to-wheel approach
Carbon dioxide (CO 2) from road traffic is a non-negligible part of global greenhouse gas
(GHG) emissions, and it is a challenge for the world today to accurately estimate road traffic …
(GHG) emissions, and it is a challenge for the world today to accurately estimate road traffic …
An Optimal Approach to Vehicular CO2 Emissions Prediction using Deep Learning
One of the biggest challenges faced by humanity today is climate change. Governmental
Organisations and Au-thorities all across the world, are now taking important steps to tackle …
Organisations and Au-thorities all across the world, are now taking important steps to tackle …