The problem of electric vehicle charging: State-of-the-art and an innovative solution
ON Nezamuddin, CL Nicholas… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper presents a comprehensive literature review with focus on the difficulties electric
vehicles (EVs) face to charge the battery while on a trip, and proposes a solution without the …
vehicles (EVs) face to charge the battery while on a trip, and proposes a solution without the …
Trajectory optimization of an electric vehicle with minimum energy consumption using inverse dynamics model and servo constraints
Trajectory planning is a crucial aspect of autonomous driving for energy conservation ans
savings, especially in electric vehicles (EVs). A particular vehicle inverse dynamics model is …
savings, especially in electric vehicles (EVs). A particular vehicle inverse dynamics model is …
Artificial intelligence and internet of things for autonomous vehicles
Artificial Intelligence (AI) is a machine intelligence tool providing enormous possibilities for
smart industrial revolution. Internet of Things (IoT) is the axiom of industry 4.0 revolution …
smart industrial revolution. Internet of Things (IoT) is the axiom of industry 4.0 revolution …
ChatGPT as your vehicle co-pilot: An initial attempt
One of the most challenging problems in human-machine co-work is the gap between
human intention and the machine's understanding and execution. Large Language Models …
human intention and the machine's understanding and execution. Large Language Models …
Vehicular task offloading via heat-aware MEC cooperation using game-theoretic method
Mobile-edge computing (MEC) has been witnessed as a promising solution for the vehicular
task offloading. Due to the limited computing resource of individual MEC servers, it faces …
task offloading. Due to the limited computing resource of individual MEC servers, it faces …
Achieving Personalized -Anonymity-Based Content Privacy for Autonomous Vehicles in CPS
Enabled by the industrial Internet, intelligent transportation has made remarkable
achievements such as autonomous vehicles by carnegie mellon university (CMU) Navlab …
achievements such as autonomous vehicles by carnegie mellon university (CMU) Navlab …
A comprehensive implementation of road surface classification for vehicle driving assistance: Dataset, models, and deployment
The prior monitoring of the road surface conditions provides valuable information to vehicle
trajectory planning and active control systems. Road surface perception with vision sensors …
trajectory planning and active control systems. Road surface perception with vision sensors …
Interval type 2 fuzzy logic control for energy management of hybrid electric autonomous vehicles
Autonomous vehicles are aimed to reduce accidents and traffic congestion. Since hybrid
electric vehicles offer feasible solutions to reduce energy consumption and emission to the …
electric vehicles offer feasible solutions to reduce energy consumption and emission to the …
Drivers and barriers to implementation of connected, automated, shared, and electric vehicles: An agenda for future research
A Mahdavian, A Shojaei, S Mccormick… - IEEE …, 2021 - ieeexplore.ieee.org
Several converging trends appear to reshape the way citizens and goods move about.
These trends are social, including urbanization and population growth, and technological …
These trends are social, including urbanization and population growth, and technological …
A coupled vehicle-signal control method at signalized intersections in mixed traffic environment
Y Du, W ShangGuan, L Chai - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Signalized intersections play a vital role in addressing the issue of transportation efficiency
and vehicle fuel economy in urban areas. Meanwhile, with the development of Connected …
and vehicle fuel economy in urban areas. Meanwhile, with the development of Connected …