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 …

The transportation sector is one of the primary sources of air pollutants in megacities. Strict
regulations of newly added vehicles to the local market require precise prediction models of …

Electric vehicles (EV) are fast becoming an integral part of our evolving society. There is a
growing movement in advanced countries to replace gas‐driven vehicles with EVs towards …

The number of investigation on the fuel efficiency and the emission characteristics of diesel
vehicles under steady-state operation and under transient operation has been carried out …

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 …

The goal of this work is to reduce driver's range anxiety by estimating the real-time energy
consumption of electric vehicles using deep convolutional neural network. The real-time …

On-road vehicle has been a prominent emission source, hence a key target of control for
environment, health, and climate concerns. While considerable efforts have been made to …

Range anxiety remains one of the main hurdles to the widespread adoption of electric
vehicles (EVs). To mitigate this issue, accurate energy consumption prediction is required. In …

This study contains a survey on the architecture of electric vehicles and an artificial neural
network application for prediction of energy consumption in all-electric vehicles. In this study …

It has been well-recognized that driving behaviors significantly impact the fuel consumption
of vehicles. To explore how well deep learning methods can predict fuel consumption …