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[HTML][HTML] Electric vehicle routing, arc routing, and team orienteering problems in sustainable transportation
The increasing use of electric vehicles in road and air transportation, especially in last-mile
delivery and city mobility, raises new operational challenges due to the limited capacity of …
delivery and city mobility, raises new operational challenges due to the limited capacity of …
HCP: Heterogeneous computing platform for federated learning based collaborative content caching towards 6G networks
A heterogeneous computing architecture is essential to facilitate intelligent network traffic
control for a joint computation, communication, and collaborative caching optimization in 6G …
control for a joint computation, communication, and collaborative caching optimization in 6G …
[HTML][HTML] Research on micro-mobility with a focus on electric scooters within smart cities
In the context of the COVID-19 pandemic, an increasing number of people prefer individual
single-track vehicles for urban transport. Long-range super-lightweight small electric …
single-track vehicles for urban transport. Long-range super-lightweight small electric …
Scheduling drone charging for multi-drone network based on consensus time-stamp and game theory
Abstract Drones or Unmanned Aerial Vehicles (UAVs) can be highly efficient in various
applications like hidden area exploration, delivery, or surveillance and can enhance the …
applications like hidden area exploration, delivery, or surveillance and can enhance the …
Online estimation of driving range for battery electric vehicles based on SOC-segmented actual driving cycle
H Wei, C He, J Li, L Zhao - Journal of Energy Storage, 2022 - Elsevier
The transport sector is one of the most polluting sectors globally, battery electric vehicles
(BEVs) are deemed as one alternative to improve the environmental efficiency for the …
(BEVs) are deemed as one alternative to improve the environmental efficiency for the …
Validation of EKF based SoC estimation using vehicle dynamic modelling for range prediction
EP Sangeetha, N Subashini, TK Santhosh… - Electric Power Systems …, 2024 - Elsevier
Demand for Li-ion batteries is soaring daily in the global Electric Vehicle (EV) market.
Therefore, develo** an accurate, efficient and low-cost Battery Management System …
Therefore, develo** an accurate, efficient and low-cost Battery Management System …
Predicting electric vehicle energy consumption from field data using machine learning
Q Zhu, Y Huang, CF Lee, P Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This study addresses the challenge of accurately forecasting the energy consumption of
electric vehicles (EVs), which is crucial for reducing range anxiety and advancing strategies …
electric vehicles (EVs), which is crucial for reducing range anxiety and advancing strategies …
UAV-aided information diffusion for vehicle-to-vehicle (V2V) in disaster scenarios
Y Kawamoto, T Mitsuhashi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
To support safe driving and automatic operation, collecting and providing information are
important in intelligent transport systems (ITSs). Information and communication technology …
important in intelligent transport systems (ITSs). Information and communication technology …
Least-energy path planning with building accurate power consumption model of rotary unmanned aerial vehicle
Rotary unmanned aerial vehicles (UAVs), also known as drones, have various advantages,
yet their actual applications are limited owing to their flight range. However, increasing the …
yet their actual applications are limited owing to their flight range. However, increasing the …
[HTML][HTML] A data-driven learning method for online prediction of drone battery discharge
This paper describes an adaptive method to predict the battery discharge of a multirotor
drone over a generic path. A proper assessment of battery state of discharge trend is critical …
drone over a generic path. A proper assessment of battery state of discharge trend is critical …