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Advanced Intelligent Predictive Models for Urban Transportation (Hardcover)
Loot Price: R3,877
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Advanced Intelligent Predictive Models for Urban Transportation (Hardcover)
Expected to ship within 12 - 17 working days
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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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