Jul 2026· International Journal of Next-Generation Engineering and Technology· 0 citations
Abstract
The rapid advancements in intelligent mobility, linked cars, and autonomous transportation systems have elevated transportation safety to the forefront of research priorities. When it comes to monitoring, decision-making, and road safety, traditional transport is being utterly transformed by technologies like AI, ML, the Internet of Things (IoT), V2X communications, edge computing, and autonomous cars. The present review provides an extensive overview of the key concepts of transportation safety, such as VRUs, camera-based perception, AI detection and recognition, tracking and trajectory prediction techniques. In addition, the state-of-the-art in the areas of IoT enabled transportation systems, intelligent vehicles and V2X communication frameworks is discussed to explore how these innovations enable cooperative and connected mobility. Besides that, the main challenges faced by the autonomous vehicles, especially safety and reliability issues, legal and moral concerns, infrastructure issues and human-machine interaction are considered. Moreover, the recent literature in the area of emerging transportation technologies is reviewed in order to examine the most recent trends, advancements and open problems. This analysis demonstrates how critical it is to build a trustworthy transportation ecosystem by integrating intelligent communication networks, artificial intelligence (AI), and edge computing.
The proposed framework brings in intelligent decision-making algorithms and edge-enabled V2X communication to enable dynamic traffic control, accident prevention, route optimization, and emergency response coordination to enhance transportation systems and road safety.
J. Arsac· International Journal of Mod...· 0 citations
This study investigates the integration of Emerging Computing Technologies into smart road infrastructures as a potential response to these challenges, and explores key enabling technologies for their capacity to support intelligent transportation systems.
Afzal Badshah, Ali Daud, S. Arafat et al.· Computers, Materials & C...· 0 citations
This paper, drawing on cutting-edge technological architectures, industry policy directions, and data management standards, proposes breaking through technical challenges via multimodal large models and Vehicle-Road-Cloud integrated architecture, and improving the governance system by revising traffic laws, unifying in...
Yuxuan Peng· Applied and Computational En...· 0 citations
This work maps out the market landscape and identifies hybrid architectures as the current Pareto-optimal solution, balancing operational capability, safety assurance, and immediate regulatory feasibility for L3/L4 automation.
Okpala Sanctus Emekumeh, Edje E. Abel, Ojugo A. Arnold· FUDMA Journal of Sciences· 0 citations
An adaptive multi-tier IoV connectivity architecture that offers ultra-low latency, high scalability, and robust interoperability through distributed edge–cloud processing, AI-driven resource orchestration, adaptive blockchain-enabled security, and cross-technology communication control is proposed.
Arbab Waheed Ahmad, M. Derawi, Raja Sana Gul· IEEE Open Journal of the Com...· 0 citations
A Multi-Agent Autonomous Control Framework that integrates Multi-Agent Systems (MAS), Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), Graph Neural Networks (GNN), Internet of Things (IoT), Vehicle-to-Everything (V2X) communication, and edge-cloud computing is proposed.
Seshagiri N· International Journal of Mod...· 0 citations
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