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2023 | OriginalPaper | Chapter

14. Transportation Management Using IoT

Deep Learning to Predict Various Traffic States

Author : Amit Singh

Published in: Deep Learning Technologies for the Sustainable Development Goals

Publisher: Springer Nature Singapore

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Abstract

One of the largest issues in terms of road traffic, transportation costs, car parking, service types, etc., is moving people and basic goods between locations. The transportation system is the foundation of supply chain management, and effective management of the aforementioned issues is referred to as transportation management. The development of the Internet of Things (IoT), which makes ordinary physical things or gadgets smart, has recently attracted a lot of interest. IoT is increasingly being used to control local and international transportation systems. Vehicle-to-vehicle communication is made possible by Industry 4.0, which lowers traffic and, as a result, accidents, congestion, pollution, etc. The Internet of Things (IoT) is used in this chapter to improve the shipping and movement of cars and cargoes across various transportation management segments. It increases the vigilance and level of scrutiny for both the product and human movement. The chapter also discusses how deep learning technologies have recently advanced to handle IoT problems in transportation management.

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Title: Transportation Management Using IoT
Author: Amit Singh
Publisher: Springer Nature Singapore
Book: Deep Learning Technologies for the Sustainable Development Goals
Print ISBN: 978-981-19-5722-2

Electronic ISBN: 978-981-19-5723-9

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-981-19-5723-9_14

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