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 …
Development of an energy consumption prediction model for battery electric vehicles in real-world driving: a combined approach of short-trip segment division and …
Y Pan, W Fang, W Zhang - Journal of Cleaner Production, 2023 - Elsevier
Due to the excellent energy-saving and environmental protection features, electric vehicles
(EVs) are gaining significant market penetration, especially in densely populated urban …
(EVs) are gaining significant market penetration, especially in densely populated urban …
Exploring Patterns of Transportation-Related CO2 Emissions Using Machine Learning Methods
While the transportation sector is one of largest economic growth drivers for many countries,
the adverse impacts of transportation on air quality are also well-noted, especially in …
the adverse impacts of transportation on air quality are also well-noted, especially in …
Features Importance Analysis of Diesel Vehicles' NOx and CO2 Emission Predictions in Real Road Driving Based on Gradient Boosting Regression Model
HT Wen, JH Lu, DS Jhang - International Journal of Environmental …, 2021 - mdpi.com
In order to have an accurate and fast prediction of the artificial intelligence (AI) model, the
choice of input features is at least as important as the choice of model. The effect of input …
choice of input features is at least as important as the choice of model. The effect of input …
An extensive investigation on leveraging machine learning techniques for high-precision predictive modeling of CO2 emission
Predictive analytics utilizing machine learning algorithms play a pivotal role in various
domains, including the profiling of carbon dioxide (CO2) emissions. This research paper …
domains, including the profiling of carbon dioxide (CO2) emissions. This research paper …
Development of Machine Learning based approach to predict fuel consumption and maintenance cost of Heavy-Duty Vehicles using diesel and alternative fuels
S Katreddi - 2023 - search.proquest.com
One of the major contributors of human-made greenhouse gases (GHG) namely carbon
dioxide (CO 2), methane (CH 4), and nitrous oxide (NO X) in the transportation sector and …
dioxide (CO 2), methane (CH 4), and nitrous oxide (NO X) in the transportation sector and …
[HTML][HTML] Evolution of European light-duty vehicle CO2 emissions based on recent certification datasets
A Chatzipanagi, J Pavlovic, MA Ktistakis… - … Research Part D …, 2022 - Elsevier
A new vehicle testing procedure (WLTP-Worldwide Light duty vehicle Test Procedure) was
introduced in the European Union (EU) in 2017. In order to examine its actual impact on CO …
introduced in the European Union (EU) in 2017. In order to examine its actual impact on CO …
Data-driven predictive energy management and emission optimization for hybrid electric buses considering speed and passengers prediction
The energy-saving and emission reduction potential of hybrid electric vehicles are of great
significance to the environment's sustainable development. The trade-off between energy …
significance to the environment's sustainable development. The trade-off between energy …
DeepFEC: Energy consumption prediction under real-world driving conditions for smart cities
S Elmi, KL Tan - Proceedings of the Web Conference 2021, 2021 - dl.acm.org
The status of air pollution is serious all over the world. Analysing and predicting vehicle
energy consumption becomes a major concern. Vehicle energy consumption depends not …
energy consumption becomes a major concern. Vehicle energy consumption depends not …
Predicting transportation carbon emission with urban big data
Transportation carbon emission is a significant contributor to the increase of greenhouse
gases, which directly threatens the change of climate and human health. Under the pressure …
gases, which directly threatens the change of climate and human health. Under the pressure …