In recent years, many countries have set specific goals to replace fossil fuel vehicles with the
electric ones due to environmental concerns and issues related to energy supply security; it …

The transition of the automotive sector to electric vehicles (EVs) necessitates research on
charging demand forecasting for optimal station placement and capacity planning. In the …

Electric Vehicle (EV) charging demand and charging station availability forecasting is one of
the challenges in the intelligent transportation system. With accurate EV station availability …

Accurate vehicle type classification plays a significant role in intelligent transportation
systems. It is critical to understand the road conditions and usually contributive for the traffic …

Accurate long series forecasting of traffic information is critical for the development of
intelligent traffic systems. We may benefit from the rapid growth of neural network analysis …

Traffic flow prediction is one of the challenges in the development of an Intelligent
Transportation System (ITS). Accurate traffic flow prediction helps to alleviate urban traffic …

Electric vehicles (EVs) have seen significant advancements and mainstream adoption,
prompting in-depth analysis of their economic, technical, and environmental impacts …

In modern cities, the number of Electric vehicles (EV) is increasing rapidly for their low
emission and better dynamic performance, leading to increasing demand for EV charging …

Electric vehicles (EVs) have long been recognized as a solution to the shortage of fossil
fuels and the environmental problems associated with increasing CO2 emissions. However …

Enhancing electric vehicle infrastructure by forecasting the availability of charging stations
can boost the attractiveness of electric vehicles. The transportation sector plays a crucial role …