While the UK has committed to reduce CO2 emissions to 80% of 1990 levels by 2050,
transport accounts for nearly a fourth of all emissions and the degree to which …

Electric vehicles in a short time will make up the majority of the fleet of vehicles used in
general. This state of affairs will generate huge sets of data, which can be further …

The widespread electrification of public transportation is increasing and is a powerful way to
reduce greenhouse gas (GHG) emissions. Using real-world driving data is crucial for vehicle …

Natural gas has been widely recognized as an economic and environmental-friendly
alternative fuel in the transport sector. Many cities have implemented the policy to …

Electric vehicles (EVs) are critical to the transition to a low-carbon transportation system. The
successful adoption of EVs heavily depends on energy consumption models that can …

Electric vehicles are the next generation of cars which are pollutant-free, resulting in the
elimination of many environmental and healthcare problems caused by fossil-fueled …

With the surge of electric vehicles, accurate estimation of their energy consumption becomes
increasingly critical. Data-driven models have been widely used for estimating the energy …

Vehicle Energy Consumption (VEC) estimation aims to predict the total energy required for a
given trip before it starts, which is of great importance to trip planning and transportation …

This paper presents a road vehicle emission model that integrates an artificial neural
network (ANN) model with a vehicle dynamics model to predict the instantaneous carbon …

This paper presents a novel approach to predict carbon dioxide (CO 2), nitrogen oxides
(NOx), and carbon monoxide (CO) emissions of diesel vehicles using artificial neural …