TRANSFORMING TRANSPORTATION

AUTHOR(S)

Benjamin George Abraham, Jibin Varghese, Akhil Reji M, Jibin Antony, Giji Joseph

DOI: https://doi.org/10.46647/ijetms.2023.v07i04.054

ABSTRACT
The world of transportation is changing. Due to increasing mobility demand, challenges like financing, dealing with emissions and volatile oil prices are going up. Decision-makers in the areas of policy and planning have to address these challenges and have try to develop a transportation system capable of meeting the future needs of society and the economy. This paper shows the results of future-oriented research. We first investigate a distributed dynamic computation offloading model for multi-access edge computing (MEC) enabled CITS under a heterogeneous road network, in which the multiple and heterogeneous computing power sources cooperatively provide computation offloading services for vehicles then to ensure smooth transmission of the overwhelming amounts of data, existing wireless transmission technologies have become increasingly insufficient. 5G, which succeeds 4G (LTE, WiMAX) and 3G (UMTS) and promises data rates of 20 Gbps, can help in this regard and Vehicular ad-hoc networks (VANETs) are the specific sort of ad-hoc networks that are utilized in intelligent transportation systems (ITS). VANETs have become one of the most reassuring, promising, and quickest developing subsets of the mobile ad-hoc networks (MANETs). They include smart vehicles, roadside units (RSUs), and on-board units (OBUs) which correspond through inconsistent wireless network. In this study we discuss and elaborate the challenges, along with the applications, and the future directions of transforming transportation using embracing the potential of 5G, Heterogeneous Networks, and Software Defined Networking in Intelligent Transportation Systems. At the end we provide the conclusion of the whole study.

Page No: 399 - 409

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How to Cite This Article:
Benjamin George Abraham, Jibin Varghese, Akhil Reji M, Jibin Antony, Giji Joseph . TRANSFORMING TRANSPORTATION . ijetms;7(4):399-409. DOI: 10.46647/ijetms.2023.v07i04.054