Next-Generation V2X Communication for Autonomous EVs: Enhancing Traffic Flow and Energy Efficiency

Authors

  • V. Saravanan Professor, Department of Electronics and Communication Engineering Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University,Chennai-602105,Tamilnadu,India.
  • A. Beatrice Dorothy Assistant Professor Department of Data Science St. Joseph’s College Tiruchirappalli - 620002.
  • P. Janaki Ramal Assistant Professor, Department of computer science engineering, Saveetha Engineering College.
  • Sankar Ganesh S Associate Professor, Department of Electronics and communication Engineering, RVS College of Engineering & Technology (Autonomous) Coimbatore, Tamil Nadu, India
  • T S Rajeswari Assistant Professor, Department of English, Koneru Lakshmaiah Education Foundation, AP, Vaddeswaram, India - 522302
  • M. Thangamani PROFESSOR and Head Department of AI&ML MUTHAYAMMAL ENGINEERING COLLEGE (AUTONOMUS), KAKKAVERI, RASIPURAM, -637408 NAMAKKAL DT, TAMILNADU, INDIA

DOI:

https://doi.org/10.22399/ijcesen.2495

Keywords:

Next-Generation V2X, Communication, Autonomous Electric Vehicles, Traffic Flow Optimization, Energy Efficiency, AI-Driven Framework

Abstract

Next-generation Vehicle-to-Everything (V2X) communication is critical to advancing autonomous Electric Vehicles (EVs) by enabling real-time data exchange with infrastructure, pedestrians, and other vehicles. This study presents an integrated V2X framework designed to enhance traffic flow and energy efficiency in autonomous EVs. Leveraging 5G technology, edge computing, and AI-powered predictive algorithms, the framework facilitates low-latency communication, dynamic route optimization, and energy-aware decision-making. Key components include adaptive resource allocation, cooperative traffic management, and predictive battery management systems.

Simulations conducted in urban and highway scenarios reveal a 30% improvement in traffic flow, a 25% reduction in energy consumption, and a 20% increase in travel efficiency compared to conventional V2X systems. The results demonstrate the framework’s potential to mitigate congestion, minimize emissions, and extend EV battery life, addressing critical challenges in smart transportation ecosystems. This study underscores the transformative impact of next-generation V2X communication on the future of autonomous EVs and sustainable mobility

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Published

2025-06-14

How to Cite

V. Saravanan, A. Beatrice Dorothy, P. Janaki Ramal, S, S. G., T S Rajeswari, & M. Thangamani. (2025). Next-Generation V2X Communication for Autonomous EVs: Enhancing Traffic Flow and Energy Efficiency. International Journal of Computational and Experimental Science and Engineering, 11(3). https://doi.org/10.22399/ijcesen.2495

Issue

Vol. 11 No. 3 (2025): IJCESEN

Section

Research Article

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Copyright (c) 2025 International Journal of Computational and Experimental Science and Engineering

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