Knowledge of the remaining driving range is crucial for drivers of battery electric vehicles
(BEVs), because maximum range and charging infrastructure are limited. This and the fact …

Limited range and charging infrastructure leads to range anxiety of electric vehicle drivers.
Current range estimation algorithms are deemed unreliable and large safety margins are …

Vehicular Ad Hoc Network (VANET) provides communication between vehicles and
roadside infrastructures to improve safety, traffic efficiency, and comfort. VANET requires the …

The transportation sector is expanding its trends in accessibility, connectivity, and mobility
for making the road travel as safe and convenient. Now with Services like car sharing, car …

Range anxiety is a great problem for electric vehicle drivers due to limited infrastructure and
battery capacity. One way to contradict this issue is more accurate range estimation, which …

Transportation contributes a substantial fraction of all greenhouse gas emissions. One
approach for reducing such emissions is to modify vehicles' route choices to minimize their …

This paper presents a hybrid modeling methodology that integrates a Neural Network with a
physics-based vehicle model, for estimating the range of battery electric buses. The neural …

The increase in population has increased congestion in traffic which has caused the users to
take different routes between the same source and destination. Personalized route …

This work aims at improving the energy consumption forecast of electric vehicles by
enhancing the prediction with a notion of uncertainty. The algorithm itself learns from driver …

Eco-routing is a vehicle navigation method that selects those paths to a destination that
minimize fuel consumption, energy consumption or pollutant emissions. It is one of the …