A review on electric vehicles: Technologies and challenges
Electric Vehicles (EVs) are gaining momentum due to several factors, including the price
reduction as well as the climate and environmental awareness. This paper reviews the …
reduction as well as the climate and environmental awareness. This paper reviews the …
[HTML][HTML] Impacts of intelligent transportation systems on energy conservation and emission reduction of transport systems: A comprehensive review
Z Lv, W Shang - Green Technologies and Sustainability, 2023 - Elsevier
With the development of smart cities, new requirements have been put forward for the
control of carbon emissions (CEs) in the transportation system. Intelligent transportation …
control of carbon emissions (CEs) in the transportation system. Intelligent transportation …
Online vehicle routing with neural combinatorial optimization and deep reinforcement learning
Online vehicle routing is an important task of the modern transportation service provider.
Contributed by the ever-increasing real-time demand on the transportation system …
Contributed by the ever-increasing real-time demand on the transportation system …
A real-time vehicle-specific eco-routing model for on-board navigation applications capturing transient vehicle behavior
The paper develops a real-time vehicle-specific eco-routing model for use in on-board
navigation systems for both conventional fuel-and battery-powered electric vehicles. The …
navigation systems for both conventional fuel-and battery-powered electric vehicles. The …
A model for range estimation and energy-efficient routing of electric vehicles in real-world conditions
This paper presents an integrated model for energy consumption and range estimation,
capable of energy-efficient routing. This integrated model predicts the energy consumption …
capable of energy-efficient routing. This integrated model predicts the energy consumption …
Eco‐driving at signalised intersections for electric vehicles
R Zhang, E Yao - IET Intelligent Transport Systems, 2015 - Wiley Online Library
The effectiveness of electric vehicle (EV) on energy consumption reduction and traffic
pollutant emission mitigation is highly expected for its high energy efficiency and zero …
pollutant emission mitigation is highly expected for its high energy efficiency and zero …
Application of the support vector machine and heuristic k-shortest path algorithm to determine the most eco-friendly path with a travel time constraint
This study aims to determine an eco-friendly path that results in minimum CO 2 emissions
while satisfying a specified budget for travel time. First, an aggregated CO 2 emission model …
while satisfying a specified budget for travel time. First, an aggregated CO 2 emission model …
Interests and limits of machine learning-based neural networks for rotor position estimation in EV traction drives
W Zine, Z Makni, E Monmasson… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
In this paper, a novel rotor position estimator for an interior permanent magnet synchronous
motor is presented and evaluated. The proposed estimator lies on one of the most popular …
motor is presented and evaluated. The proposed estimator lies on one of the most popular …
A general constrained optimization framework for the eco-routing problem: Comparison and analysis of solution strategies for hybrid electric vehicles
Vehicles electrification marks a very important step towards sustainable mobility. However,
energy efficiency and driving range of electrified vehicles are nowadays a major concern …
energy efficiency and driving range of electrified vehicles are nowadays a major concern …
Eco-routing problem for the delivery of perishable products
F Wu, M Dong - Computers & Operations Research, 2023 - Elsevier
Eco-routing problem (ERP) is concerned with selecting the optimal route for a vehicle to
minimize fuel consumption. For delivery activities, the vehicle is often required to finish the …
minimize fuel consumption. For delivery activities, the vehicle is often required to finish the …