E-Books →Advanced Intelligent Predictive Models for Urban Transportation

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.