Predictive models for vehicle energy consumption are crucial for sustainable development in
urban road traffic systems. This paper comprehensively reviews classic predictive models …

Electric mobility is getting prominence in modern transportation as government policies aim
to reduce greenhouse gas (GHG) emissions. In the context of real-time testing, numerical …

The rapid growth of transportation sector and related emissions are attracting the attention of
policymakers to ensure environmental sustainability. Therefore, the deriving factors of …

In this paper, we present an ensemble stacked generalization (ESG) approach for better
prediction of electric vehicles (EVs) energy consumption. ESG is a weighted combination of …

The transport sector accounts for massive global CO 2 emissions. To achieve low-carbon
transport systems, promoting electric vehicles (EVs) is a crucial strategy of worldwide …

Electric vehicles (EVs) are the future of the automobile industry, as they produce zero
emissions and address environmental and health concerns caused by traditional fuel …

With the increasing popularity of electric buses (EBs), accurate estimation of the trip-level
energy consumption of EBs has become increasingly essential. In this paper, an effective …

In the US a complete transition to electric vehicles (EVs) would increase demand for carbon-
free electricity by around 30% if the future fleet has the same average size, weight and …

Remaining driving range (RDR) research has continued to consistently evolve with the
development of electric vehicles (EVs). Accurate RDR prediction is a promising approach to …

Electromobility in public transport has become a promising way to reduce environmental
pollution. Several contributions have sought to estimate the energy consumption of buses in …