Decision making for selection of smart vehicle transportation system using VIKOR approach

Abstract

The advent of technology has facilitated communication among individuals, structures, and transport, thereby revolutionizing contemporary living. In this regard, the Internet of Things has emerged as a transformative approach. Smart vehicles and the Internet of Vehicles (IoV) play a vital role in the development of smart cities and intelligent mobility systems, relying heavily on connectivity and data exchange. The storage, processing, and collection of data generated by smart cars are presently achievable through cloud computing. This study aims to utilize weight identification and ranking algorithms to explore, evaluate, and prioritize the essential transportation attributes for enhancing intelligent transportation systems. This study uses the VIKOR approach to identify top-ranking options for Intelligent Transportation Systems, focusing on their effectiveness, safety, efficiency, and sustainability in transportation. The VIKOR technique is useful in urban planning and IoV settings, providing a balanced decision-making framework. Future recommendations include refining criteria, integrating AI, fostering collaboration, ensuring security, promoting public awareness, and making transportation reliable, convenient and easy for use.