The advancement and popularity of smartphones have made it an essential and all-purpose
device. But lack of advancement in battery technology has held back its optimum potential …

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 …

In this paper, an energy model for battery electric buses (Ebus) is proposed. The model is
developed based on established models for longitudinal dynamics, using event-based low …

The energy consumption (EC) of battery-electric buses (BEB) varies significantly due to the
intertwined relationships of vehicular, operational, topological, and external parameters …

The estimation of energy consumption is an important prerequisite for planning the required
infrastructure for charging and optimising the schedules of battery electric buses used in …

Driving behavior has a large impact on vehicle fuel consumption. Dedicated study on the
relationship between the driving behavior and fuel consumption can contribute to …

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 …

Abstract Many Multi-Armed Bandit (MAB) based workers selection schemes have been
proposed to select high-quality workers to enhance the quality of tasks. However, in Mobile …

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 …

As prediction of trip-based electricity consumption has become an prerequisite for the
deployment of large-scale EB fleets, this study has established random forest-based models …