Potential of Augmented Reality for Intelligent Transportation Systems

Abstract

SynonymsAugmented reality; Intelligent transportation systems; Network resource management; Vehicular ad hoc networks; Virtual reality DefinitionAugmented reality (AR) is usually regarded as a human-computer interface which enhances a human's perception of the real world by superimposing useful contextual information in real time (Ling 2017). Over the past few years, AR systems have made remarkable advances in several industries, including aerospace, automotive, robotics, health, military, education, marketing, social media and networking, tourism, gaming, etc. It is anticipated that the next revolutionary wave in industry would come in the shape of a significant dependence on AR devices and systems. In contrast, virtual reality (VR) is a computer-generated three-dimensional immersive experience which is displayed either on a computer display or via special stereoscopic displays, such as Facebook's Oculus Rift system.

The Use of Virtual Reality Technology in Intelligent Transportation Systems Education

“…Today, there is a broad spectrum of different fields and approaches using different mediums and tools that implement innovative VR technologies which could be used for ITS education. Mahmood et al proposed an ad-hoc Vehicle-to-Vehicle network (V2V) that provides decentralized data to be visualized by VR systems that emergency responders carry [27]. Al-Hilo et al proposed that the next generation of wireless cellular and V2V networks to be used in connected vehicles will increase the utilization of VR technologies [28].…”

Data Driven Service Orchestration for Vehicular Networks

“…They can support the broad expansion of cellular Vehicle-to-Everything (V2X) to enhance both passenger and pedestrian security in advanced automotive scenarios. Intelligent autonomous driving vehicles can benefit from the existing cellular network architecture to enable data-intensive and latency-sensitive abilities such as situational awareness, proactive collision warning, intersection management, highdefinition maps, real-time alerts, Augmented Reality and even lower the cost of autonomous driving [1].…”