Using Natural Language Processing to Improve Safety in the Internet of Vehicles

Preview this chapter:

Using Natural Language Processing to Improve Safety in the Internet of Vehicles, Page 1 of 1

< Previous page | Next page > /docserver/preview/fulltext/9789815313024/chapter-6-1.gif

This chapter focuses on the applications and challenges of the Internet of Vehicles (IoV) and how Natural language processing is used in safety applications in IoV. The Internet of Things (IoT) is used to identify the internet of vehicles. The tremendous growth in the smart automotive sectors has recently led to a huge rise in interest in Internet of Vehicles (IoV) technology. IoV is used to connect objects, vehicles, and surroundings so that data and information may be transferred between networks. It also lets cars transmit and gather information about other vehicles and roadways. By easing traffic congestion, enhancing traffic management, and assuring road safety, IoV is introduced to improve the experience of road users. The challenges and problems that the contemporary IoV system faces are covered in this study. How to manage the privacy of huge groups of data and cars in IoV systems is one of the critical issues that researchers need to deal with. IoV networks may benefit from the numerous clever solutions provided by artificial intelligence (AI) technology to handle all the queries and problems. There is a deep connection between IoT and AI. Similarly, IoV being a subset of IoT and natural language processing (NLP) being a subset of AI are also deeply connected. Without NLP, it is difficult to run the voice control systems in IoV. The hands-free interface, which is provided by NLP, benefits the IoV in many ways.NLP techniques can be used to improve safety concerns in IoV. For instance, using sensory data from the surrounding area, NLP may be used to analyze driving behavior and the surroundings in order to prevent traffic accidents. This chapter consists of a detailed survey on IoV, with its applications and challenges, and NLP technologies that can be used for safety applications.