Scanning the Issue
IEEE transactions on intelligent transportation systems (Print)
This article presents the state-of-the-art literature about the artificial intelligence (AI) on the safety of autonomous vehicles (AVs). Applying a systematic literature review (SLR) protocol over seven major scientific collections and citation databases, an initial sample of 4870 studies was retrieved, filtered, selected, reviewed, and mapped into six categories: impact on safety, topics, techniques, problem, findings, and future studies. An AV system model was proposed and applied to orient
... e discussions about the SLR results. As one of the main results, the authors demonstrate that the AI and AV fields are not strongly influenced by the safety engineering culture, yet. Therefore, this article reinforces the necessity for considering a serious safety-oriented research agenda for future studies on AI-based AV systems. In a vehicle-to-everything (V2X) communication network, cellular device-to-device (D2D) communication can not only improve data rate and spectral utilization but also reduce the traffic load and power consumption. However, cellular D2D-based V2X technology has also a potential deficiency to meet various requirements of V2X communication, particularly in energy efficiency (EE). Power allocation provides an important approach to optimize the EE. In this article, a new approach for power allocation with EE optimization (EEO) is proposed in cellular D2D-based V2X communication networks. The mathematical framework of the new approach is formulated and proved, and an algorithm is also proposed. Numerical simulation results are provided to demonstrate the feasibility of the proposed algorithm and the superiority over existing well-known algorithms.