Segment-Based CO₂ Emission Evaluations From Passenger Cars Based on Deep Learning Techniques
N Niroomand, C Bach, M Elser - IEEE Access, 2021 - ieeexplore.ieee.org
The overall level of emissions from the Swiss passenger cars is strongly dependent on the
fleet composition. Despite technology improvements, the Swiss passenger cars fleet …
fleet composition. Despite technology improvements, the Swiss passenger cars fleet …
Predicting the transient NOx emissions of the diesel vehicle based on LSTM neural networks
Y Wang, Y Yu, J Li - 2020 IEEE conference on …, 2020 - ieeexplore.ieee.org
Nitrogen oxide (NOx) emissions play an important role in the study of diesel engine pollutant
emissions. This study introduces the long short-term memory (LSTM) neural network to …
emissions. This study introduces the long short-term memory (LSTM) neural network to …
Forecast energy demand, CO2 emissions and energy resource impacts for the transportation sector
Managing energy demand and reducing greenhouse gas emissions are among the most
significant challenges ahead for many countries. Accurate prediction of energy demand and …
significant challenges ahead for many countries. Accurate prediction of energy demand and …
Toward a Machine Learning Approach to Predict the CO2 Rating of Fuel-Consuming Vehicles in Canada
Global warming is becoming a major concern for almost all countries nowadays. Burning
fossil fuels, most of which by vehicles is the main cause of increasing toxic CO 2 in the air we …
fossil fuels, most of which by vehicles is the main cause of increasing toxic CO 2 in the air we …
A dual attention-based fusion network for long-and short-term multivariate vehicle exhaust emission prediction
X Fei, Z Lai, Y Fang, Q Ling - Science of The Total Environment, 2023 - Elsevier
The increasing number of vehicles is one main cause of atmospheric environment pollution
problems. Timely and accurate long-and short-term (LST) prediction of the on-road vehicle …
problems. Timely and accurate long-and short-term (LST) prediction of the on-road vehicle …
A comparative study on fuel consumption prediction methods of heavy-duty diesel trucks considering 21 influencing factors
J Gong, J Shang, L Li, C Zhang, J He, J Ma - Energies, 2021 - mdpi.com
With increasingly prominent environmental problems, controlling automobile exhaust has
become essential to the environment. The fuel consumption of transportation is the critical …
become essential to the environment. The fuel consumption of transportation is the critical …
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 …
Application of Artificial Intelligence to Predict CO2 Emissions: Critical Step towards Sustainable Environment
Prediction of carbon dioxide (CO2) emissions is a critical step towards a sustainable
environment. In any country, increasing the amount of CO2 emissions is an indicator of the …
environment. In any country, increasing the amount of CO2 emissions is an indicator of the …
Vehicular CO emission prediction using support vector regression model and GIS
Transportation infrastructures play a significant role in the economy as they provide
accessibility services to people. Infrastructures such as highways, road networks, and toll …
accessibility services to people. Infrastructures such as highways, road networks, and toll …
Linking alternative fuel vehicles adoption with socioeconomic status and air quality index
This is a study on the potential widespread usage of alternative fuel vehicles, linking them
with the socio-economic status of the respective consumers as well as the impact on the …
with the socio-economic status of the respective consumers as well as the impact on the …