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Dhan Lord B. Fortela, Ashton C. Fremin, Wayne Sharp, Ashley P. Mikolajczyk, Emmanuel Revellame, William Holmes, Rafael Hernandez and Mark Zappi
This work focused on demonstrating the capability of unsupervised machine learning techniques in detecting impending anomalies by extracting hidden trends in the datasets of fuel economy and emissions of light-duty vehicles (LDVs), which consist of cars ...
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Ngo Le Huy Hien and Ah-Lian Kor
Due to the alarming rate of climate change, fuel consumption and emission estimates are critical in determining the effects of materials and stringent emission control strategies. In this research, an analytical and predictive study has been conducted us...
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Andelka ?tilic, Adis Pu?ka, Aleksandar Ðuric and Darko Bo?anic
Traditional fuel-powered vehicle emissions have long been recognized as a major barrier to a sustainable environment, and their minimization could ensure both economic support for the sustainable societal fundament and pollution prevention. Electrifying ...
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Barouch Giechaskiel, Alessandro A. Zardini and Michael Clairotte
Dry-wet correction factors for diesel, gasoline, and CNG vehicles.
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Joeri Van Mierlo
Climate change, urban air quality, and dependency on crude oil are important societal challenges. In the transportation sector especially, clean and energy-efficient technologies must be developed. Electric vehicles (EVs) and plug-in hybrid electric vehi...
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Cong Chen, Xueting Zeng, Guohe Huang, Lei Yu and Yongping Li
Motor vehicles have been identified as a growing contributor to air pollution, such that analyzing the traffic policies on energy and environment systems (EES) has become a main concern for governments. This study developed a dual robust stochastic fuzzy...
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Georgios Fontaras, Biagio Ciuffo, Nikiforos Zacharof, Stefanos Tsiakmakis, ... Konstantinos Anagnostopoulos
Pág. 3933 - 3943
The monitoring and reporting of CO2 emissions of light duty vehicles in Europe and other major markets is based on the New European Driving Cycle and the accompanying test protocol. This procedure has been proven non-representative of real world vehicle ...
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Lambros K. Mitropoulos, Panos D. Prevedouros, Pantelis Kopelias
Pág. 267 - 274
While decision makers support the promotion of advanced vehicle types, and incentives are provided to consumers to own and use cleaner vehicles, policies barely rely on the life cycle impacts of transportation vehicles. The increasing number of alternati...
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Stefanos Tsiakmakis, Georgios Fontaras, Konstantinos Anagnostopoulos, Biagio Ciuffo, ... Alessandro Marotta
Pág. 3898 - 3908
This paper presents a new technology-oriented modelling approach for assessing the effect of different technologies and fleet composition on energy consumption/CO2 emissions. The methodology follows a hybrid approach between a statistically founded insta...
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Yuan Wang, Zihan Huang, Yujie Liu, Qi Yu and Weichun Ma
Many researchers have failed to utilize back-calculation to estimate traffic emissions effectively or have obtained unclear results. In this study, the back-calculation of traffic-related PM10 emission factors based on roadside concentration measurements...
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