Industrial Internet of Things: An Introduction

Author(s): Inder Singh * .

DOI: 10.2174/9789815238181124010014

Deep Learning and IoT Revolutionizing Transportation Management: A Study on Smart Transportation

Pp: 131-143 (13)

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Abstract

SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.

Abstract

In our day-to-day life, we often refer to transportation as the movement of products or people from one place to another . On the other hand, management is all about controlling resources required by transportation to achieve desired objectives and goals. Transportation management plays a critical role for an individual and company. Applications for transportation management are becoming smarter as a result of the development of technologies like the Internet of Things (IoT), and connected devices are enabling their exploitation in all spheres. Hence, with the use of these technologies, the volume of data is also increasing many-fold. There are many techniques, such as machine learning (ML), deep learning (DL), and artificial intelligence (AI), that can be applied to collected data to get insights into the data and further enhance the capabilities and intelligence of the applications. Nowadays, transportation management is more efficient with the use of both deep learning and Internet of Things techniques. 

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