Data-driven approach for instantaneous vehicle emission predicting using integrated deep neural network

AM Howlader, D Patel, R Gammariello - Transportation Research Part D …, 2023 - Elsevier
This paper details how instantaneous vehicle emissions, namely, CO 2, CO, NO X, and HC
from light-duty vehicles, can be predicted using the integrated deep neural network method …

Deep learning model based CO2 emissions prediction using vehicle telematics sensors data

M Singh, RK Dubey - IEEE Transactions on Intelligent Vehicles, 2021 - ieeexplore.ieee.org
Climate change is one of the greatest environmental hazards to mankind. The emission of
greenhouse gases has resulted in a continuous increase in the temperature of the …

A Predictive Analysis on CO2 Emissions in Automobiles using Machine Learning Techniques

MS Manvitha, MV Pujitha, NH Prasad… - … on Intelligent Data …, 2023 - ieeexplore.ieee.org
1.80 metric tonnes of CO 2 are emitted by citizens in India, which is highly detrimental to all
living beings. Climate change and glacier melting are the results of CO 2 emissions. Sea …

Integrated MOVES model and machine learning method for prediction of CO2 and NO from light-duty gasoline vehicle

R Liu, Z Zhang, C Wu, J Yang, X Zhu, Z Peng - Journal of Cleaner …, 2023 - Elsevier
With rapid urbanization and industrialization, the number of light-duty gasoline vehicles
(LDGVs) in China has continued to grow rapidly, leading to a significant increase in traffic …

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 …

Estimating average vehicle mileage for various vehicle classes using polynomial models in deep classifiers

N Niroomand, C Bach - IEEE Access, 2024 - ieeexplore.ieee.org
Accurately measuring vehicle mileage is pivotal in precise CO2 emission calculations and
the development of reliable emission models. Nonetheless, mileage data gathered from …

Estimation of transport CO2 emissions using machine learning algorithm

S Li, Z Tong, M Haroon - Transportation Research Part D: Transport and …, 2024 - Elsevier
This study investigates carbon dioxide emissions from light-duty diesel trucks using a
portable emission measurement system (PEMS) and a global positioning system. Two …

[HTML][HTML] Estimation of real-world fuel consumption rate of light-duty vehicles based on the records reported by vehicle owners

IY Zeng, S Tan, J Xiong, X Ding, Y Li, T Wu - Energies, 2021 - mdpi.com
Private vehicle travel is the most basic mode of transportation, so that an effective way to
control the real-world fuel consumption rate of light-duty vehicles plays a vital role in …

Modelling of CO2 emission prediction for dynamic vehicle travel behavior using ensemble machine learning technique

N Subramaniam, N Yusof - 2021 IEEE 19th student conference …, 2021 - ieeexplore.ieee.org
Urban growth in most developing countries mainly results from vast economic development.
As, consequences, capital cities have become the center of many activities. A large amount …

Rapid assessments of light-duty gasoline vehicle emissions using on-road remote sensing and machine learning

Y Xia, L Jiang, L Wang, X Chen, J Ye, T Hou… - Science of The Total …, 2022 - Elsevier
In-time and accurate assessments of on-road vehicle emissions play a central role in urban
air quality and health policymaking. However, official insight is hampered by the Inspection …