Even though the number and variety of fuel consumption models projected in the literature
are common, studies on their validation using real-life data is not only limited but also does …

Transportation is an important factor that affects energy consumption, and driving behavior is
one of the main factors affecting vehicle fuel consumption. The purpose of this paper is to …

Accurately and efficiently predicting the fuel consumption of vehicles is the key to improving
their fuel economy. This paper provides a comprehensive review of data-driven fuel …

This article presents a fuel consumption model, SEFUM (Semi Empirical Fuel Use
Modeling), and its comparison with three models from the literature on a 600 km …

Ability to model and predict the fuel consumption is vital in enhancing fuel economy of
vehicles and preventing fraudulent activities in fleet management. Fuel consumption of a …

The European Union has intensified efforts to reduce CO2 emissions from the transport
sector, with the target of reducing tailpipe CO2 emissions from light-duty vehicle new …

Many of the existing studies on vehicular fuel consumption estimation are criticized in
aspects such as ignoring real-world training data, low diversity of test fleet, impracticality of …

Due to the increasingly severe environmental issues caused by transportation, energy
conservation and emission reduction have become one of the most important research …

Heavy-duty trucks contribute approximately 20% of fuel consumption in the United States of
America (USA). The fuel economy of heavy-duty vehicles (HDV) is affected by several real …

This paper advocates a data summarization approach based on distance rather than the
traditional time period when developing individualized machine learning models for fuel …