Advanced Intelligent Predictive Models for Urban Transportation

by A Bharathi , Balamurugan Balusamy , R. Sathiyaraj

Book Details

Format Hardback or Cased Book

ISBN-10 1032108517

ISBN-13 9781032108513

Publisher Taylor & Francis Ltd

Imprint Chapman & Hall/CRC

Country of Manufacture GB

Country of Publication GB

Publication Date Mar 27th, 2022

Print length 132 Pages

Weight 428 grams

Dimensions 18.60 x 26.40 x 1.80 cms

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The book emphasizes the predictive models of Big Data, Genetic Algorithm and IoT with a case study. It also covers an Intelligent Traffic Light Controller and Deviation System, which can assist in modernizing the traffic system to smart traffic management system.

The book emphasizes the predictive models of Big Data, Genetic Algorithm, and IoT with a case study. The book illustrates the predictive models with integrated fuel consumption models for smart and safe traveling. The text is a coordinated amalgamation of research contributions and industrial applications in the field of Intelligent Transportation Systems. The advanced predictive models and research results were achieved with the case studies, deployed in real transportation environments.

Features:

Provides a smart traffic congestion avoidance system with an integrated fuel consumption model.

Predicts traffic in short-term and regular. This is illustrated with a case study.

Efficient Traffic light controller and deviation system in accordance with the traffic scenario.

IoT based Intelligent Transport Systems in a Global perspective.

Intelligent Traffic Light Control System and Ambulance Control System.

Provides a predictive framework that can handle the traffic on abnormal days, such as weekends, festival holidays.

Bunch of solutions and ideas for smart traffic development in smart cities.

This book focuses on advanced predictive models along with offering an efficient solution for smart traffic management system.

This book will give a brief idea of the available algorithms/techniques of big data, IoT, and genetic algorithm and guides in developing a solution for smart city applications.

This book will be a complete framework for ITS domain with the advanced concepts of Big Data Analytics, Genetic Algorithm and IoT.

This book is primarily aimed at IT professionals. Undergraduates, graduates and researchers in the area of computer science and information technology will also find this book useful.

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