Traffic emissions are considered one of the leading causes of environmental impact in
megacities and their dangerous effects on human health. This paper presents a hybrid …

In the last few decades, vehicles are equipped with a plethora of sensors which can provide
useful measurements and diagnostics for both the vehicle's condition as well as the driver's …

It is generally known that, taking wise and challenging decisions is really a crucial task in
every business. Taking improper decisions can cause huge loss and even lead to shutdown …

Abstract Light Duty Vehicles (LDVs) hold a major share in Islamabad's vehicle fleet and their
contribution towards air pollution has not been analyzed previously. Emissions for the base …

An artificial neural network (ANN) was trained on chassis dynamometer data and used to
predict the oxides of nitrogen (NO x), carbon dioxide (CO2), hydrocarbons (HC), and carbon …

Computer vision in self-driving vehicles can lead to research and development of futuristic
vehicles that can mitigate the road accidents and assist in a safer driving environment. By …

This paper elucidates the development of a deep learning–based driver assistant that can
prevent driving accidents arising from drowsiness. As a precursor to this assistant, the …

The environment‐friendly nature of E‐vehicles (electric vehicles) coupled with higher energy
efficiency has increased their popularity in the automotive industry. A detailed study has …

Governments worldwide are promoting Electric Vehicles (EVs) to achieve the energy
conservation and emissions reduction goal, but low penetration of EVs means that it still has …

A working person on an average spends 1.5–2 h every day traveling either to their places of
work or for other daily activities, using metros, trams, buses, and cars, as common modes of …