Eco-driving is a multidimensional concept that includes driving behavior, route selection and
all other choices or behaviors related to the vehicles' fuel consumption (eg, the use of quality …

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 …

The problem of global warming is getting more serious, and vehicle emission is the main
cause. In recent years, the number of locomotives in China has been increasing at a rate of …

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 …

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 …

Instantaneous fuel consumption estimation of fleet vehicles provides essential tools for fleet
operation optimization and intelligent fleet management. This study aims to develop …

This paper deals with fuel consumption prediction based on vehicle velocity, acceleration,
and road slope time series inputs. Several data-driven models are considered for this …

We discuss the international competition FedCSIS 2022 Challenge: Predicting the Costs of
Forwarding Contracts that was organized in association with the FedCSIS conference series …

Trackers installed in vehicles gives insights into many useful information and predict future
mobility patterns and other aspects related to vehicles movement which can be used for …

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