Emerging Trends in Smart Green IoV: Vehicle-To-Everything (V2X) in The Electric Vehicle Era
Volume: 13 - Issue: 10 - Date: 01-10-2024
Approved ISSN: 2278-1412
Published Id: IJAECESTU424 | Page No.: 2278 -1412
Author: Shruti Gupta
Co- Author: Mr. Ashish Bhargaya
Abstract:-This paper evolution of the Internet of Vehicles (IoV) is shaping the future of intelligent
transportation, especially with the rapid adoption of electric vehicles (EVs). This thesis explores the
emerging trends in Smart Green IoV, focusing on Vehicle-to-Everything (V2X) communication in the context
of electric mobility. The integration of V2X technologies, such as Vehicle-to-Vehicle (V2V), Vehicle-toInfrastructure (V2I), and Vehicle-to-Grid (V2G), is transforming the way vehicles interact with each other
and their surroundings, promoting sustainability and energy efficiency. This study investigates the role of
V2X in enhancing road safety, reducing energy consumption, and supporting smart grid integration,
highlighting how these advancements can contribute to a sustainable and intelligent transportation
ecosystem.
Key challenges in implementing Smart Green IoV, including communication reliability, data security, and
infrastructure compatibility, are analyzed, alongside strategies to address these barriers. Additionally, the
thesis reviews cutting-edge technologies such as artificial intelligence, edge computing, and 5G networks,
which are driving the development of more efficient V2X communication systems. The findings aim to provide
insights into future directions for researchers and industry stakeholders, offering recommendations for
optimizing the use of V2X in electric vehicles. Ultimately, the research underscores the potential of Smart
Green IoV to foster an eco-friendly and connected future for transportation
Key Words:-Internet of Vehicles (IoV), Vehicle-to-Everything (V2X), Electric Vehicles (EVs), Sustainable Transportation, Smart Green IoV, Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), Vehicle-toGrid (V2G).
Area:-Engineering
Download Paper:
Preview This Article