Future role of artificial intelligence in advancing transportation electrification

H Lin, Y Yan, Q Cheng - Journal of Intelligent and Connected …, 2023 - ieeexplore.ieee.org
Over the past decade, the rapid evolution of artificial intelligence (AI) has revolutionized
various sectors, including transportation. This discussion explores the transformative …

Analysis on the Driving and Braking Control Logic Algorithm for Mobility Energy Efficiency in Electric Vehicle

H Jamil, SSA Naqvi, N Iqbal, MA Khan… - Smart Grids and …, 2024 - Springer
This survey study analyzes the driving and braking control logic algorithms in electric
vehicles (EVs) to enhance energy efficiency and speed control. It explores their applications …

Context Aware-Resource Optimality in Electric Vehicle Smart2Charge Application. A Deep Reinforcement Learning Base Approach

M Sharif, G Lückemeyer, H Seker - IEEE Access, 2023 - ieeexplore.ieee.org
Electric vehicle (EV) adoption is expanding, posing new issues for grid operators, fleet
operators, charging station operators, and EV owners. The challenge is to devise an efficient …

Smart EV Charging with Context-Awareness: Enhancing Resource Utilization via Deep Reinforcement Learning

M Sharif, H Seker - IEEE Access, 2024 - ieeexplore.ieee.org
The widespread adoption of electric vehicles (EVs) has introduced new challenges for
stakeholders ranging from grid operators to EV owners. A critical challenge is to develop an …

Autonomous Navigation Control of Tracked Unmanned Vehicle Formation in Communication Restricted Environment

J Yao, X Li, Y Zhang, K Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
It is an important and difficult problem to control the cooperative operation of the ground
unmanned system formation in the communication restricted environment of land battlefield …

A Demonstrative Study on Prediction of Disease Using Bayesian Machine Learning Techniques

R Dhanalakshmi, N Vijayaraghavan… - 2023 International …, 2023 - ieeexplore.ieee.org
With the rapid advancement of biological information, accurate analysis of treatment data
aids in early disease detection. To uncover knowledge for medical research, advanced …

Coordinated Ride-hailing Order Scheduling and Vehicle to Grid for Autonomous Electric Vehicles Based on Independent Proximal Policy Optimization

J Zhang, L Kong, H Zhang - … and Expo, Asia-Pacific (ITEC Asia …, 2023 - ieeexplore.ieee.org
Autonomous electric vehicles (AEVs) fleet will bring about tremendous change in the future
ride-hailing system, with huge potential to increase operational efficiency in transportation …

Coordinated Ride-hailing Order Scheduling and Charging for Autonomous Electric Vehicles Based on Deep Reinforcement Learning

J Zhang, L Kong, H Zhang - 2023 IEEE/IAS Industrial and …, 2023 - ieeexplore.ieee.org
Autonomous electric vehicles (AEVs) are increasingly recognized as a crucial component in
the modern transportation networks. This creates a pressing need to develop efficient and …