Review of Dynamic Decision Making ForConnected VehiclesIn IotSystem

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Published: Sep 16, 2023
DOI: https://doi.org/10.53555/jrtdd.v6i9s.2710
Keywords:
dynamic decision-making connected vehicles artificial intelligence machine learning data analytics cybersecurity infrastructure integration public acceptance 5G connectivity autonomous features smart cities transportation technology

Main Article Content

Miss. Sonal Sanjay Ayare
Dr. Suraj V. Pote
Dr. Jaydeep B. Patil

Abstract

By leveraging real-time data and sophisticated algorithms, dynamic decision-making for connected vehicles elevates safety and efficiency to the level of a paradigm shift in transportation technology. This article examines the present state of dynamic decision-making, emphasizing the possible advantages and difficulties it may present. The utilisation of critical elements including data analytics, machine learning, and artificial intelligence empowers interconnected vehicles to accurately and promptly traverse intricate surroundings. However, widespread adoption is hindered by infrastructure integration, cybersecurity vulnerabilities, and public acceptability, all of which pose substantial obstacles. The prospective advantages, such as decreased accidents, alleviated traffic congestion, and enhanced mobility, emphasize the criticality of confronting these obstacles. In the future, the potential for dynamic decision-making in connected vehicles is contingent upon connectivity advancements, including the integration of autonomous features and 5G technology. These advancements hold the potential to revolutionize transport within smart cities by streamlining traffic circulation and delivering customized experiences. Sustained investigation, stakeholder collaboration, and the establishment of regulatory frameworks are imperative in order to fully harness the capabilities of dynamic decision-making in connected vehicles.

Article Details

How to Cite
Miss. Sonal Sanjay Ayare, Dr. Suraj V. Pote, & Dr. Jaydeep B. Patil. (2023). Review of Dynamic Decision Making ForConnected VehiclesIn IotSystem. Journal for ReAttach Therapy and Developmental Diversities, 6(9s), 1901–1910. https://doi.org/10.53555/jrtdd.v6i9s.2710
Issue
Vol. 6 No. 9s (2023)
Section
Articles
Author Biographies

Miss. Sonal Sanjay Ayare

Research Scholar – Computer Engineering, University Of Technology, Jaipur, Rajasthan.

Dr. Suraj V. Pote

Professor, Computer Engineering, University Of Technology, Jaipur, Rajasthan

Dr. Jaydeep B. Patil

Associate Professor, Associate Dean Academics, Ph.D. Guide at D Y Patil Agriculture and Technical University, Talsande, Kolhapur ,Maharashtra

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