Advanced Intelligent Predictive Models For Urban Transportation

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Advanced Intelligent Predictive Models for Urban Transportation

R Sathiyaraj,A Bharathi,Balamurugan Balusamy
Advanced Intelligent Predictive Models for Urban Transportation Book PDF

Author : R Sathiyaraj,A Bharathi,Balamurugan Balusamy
Publisher : CRC Press
Page : 144 pages
File Size : 53,5 Mb
Release : 2022-03-28
Category : Computers
ISBN : 9781000555905

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Advanced Intelligent Predictive Models for Urban Transportation by R Sathiyaraj,A Bharathi,Balamurugan Balusamy Pdf

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.

Dynamic Urban Transportation Network Models

Bin Ran,David E Boyce
Dynamic Urban Transportation Network Models Book PDF

Author : Bin Ran,David E Boyce
Publisher : Unknown
Page : 408 pages
File Size : 49,9 Mb
Release : 1994-10-27
Category : Intelligent Vehicle Highway Systems
ISBN : 3662007746

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Dynamic Urban Transportation Network Models by Bin Ran,David E Boyce Pdf

Intelligent Vehicle-Highway Systems are providing a welcome stimulus to research on dynamic urban transportation network models. This book presents a new generation of models for solving dynamic travel choice problems including traveler's destination choice, mode choice, departure/arrival time choice and route choice. These models are expected to function as off-line travel forecasting and evaluation tools, and eventually as on-line prediction and control models in advanced traveler information and traffic management systems. In addition to a rich set of new formulations and solution algorithms, the book provides a summary of the necessary mathematical background and concludes with a discussion of the requirements for model implementation.

Artificial Intelligence for Autonomous Vehicles

Sathiyaraj Rajendran,Munish Sabharwal,Yu-Chen Hu,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
Artificial Intelligence for Autonomous Vehicles Book PDF

Author : Sathiyaraj Rajendran,Munish Sabharwal,Yu-Chen Hu,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
Publisher : John Wiley & Sons
Page : 276 pages
File Size : 43,8 Mb
Release : 2024-04-02
Category : Computers
ISBN : 9781119847465

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Artificial Intelligence for Autonomous Vehicles by Sathiyaraj Rajendran,Munish Sabharwal,Yu-Chen Hu,Rajesh Kumar Dhanaraj,Balamurugan Balusamy Pdf

With the advent of advanced technologies in AI, driverless vehicles have elevated curiosity among various sectors of society. The automotive industry is in a technological boom with autonomous vehicle concepts. Autonomous driving is one of the crucial application areas of Artificial Intelligence (AI). Autonomous vehicles are armed with sensors, radars, and cameras. This made driverless technology possible in many parts of the world. In short, our traditional vehicle driving may swing to driverless technology. Many researchers are trying to come out with novel AI algorithms that are capable of handling driverless technology. The current existing algorithms are not able to support and elevate the concept of autonomous vehicles. This addresses the necessity of novel methods and tools focused to design and develop frameworks for autonomous vehicles. There is a great demand for energy-efficient solutions for managing the data collected with the help of sensors. These operations are exclusively focused on non-traditional programming approaches and depend on machine learning techniques, which are part of AI. There are multiple issues that AI needs to resolve for us to achieve a reliable and safe driverless technology. The purpose of this book is to find effective solutions to make autonomous vehicles a reality, presenting their challenges and endeavors. The major contribution of this book is to provide a bundle of AI solutions for driverless technology that can offer a safe, clean, and more convenient riskless mode of transportation.

IoT and Big Data Analytics for Smart Cities

Sathiyaraj Rajendran,Munish Sabharwal,Gheorghita Ghinea,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
IoT and Big Data Analytics for Smart Cities Book PDF

Author : Sathiyaraj Rajendran,Munish Sabharwal,Gheorghita Ghinea,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
Publisher : CRC Press
Page : 215 pages
File Size : 54,8 Mb
Release : 2022-12-01
Category : Computers
ISBN : 9781000789669

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IoT and Big Data Analytics for Smart Cities by Sathiyaraj Rajendran,Munish Sabharwal,Gheorghita Ghinea,Rajesh Kumar Dhanaraj,Balamurugan Balusamy Pdf

The book IoT and Big Data Analytics (IoT-BDA) for Smart Cities – A Global Perspective, emphasizes the challenges, architectural models, and intelligent frameworks with smart decisionmaking systems using Big Data and IoT with case studies. The book illustrates the benefits of Big Data and IoT methods in framing smart systems for smart applications. The text is a coordinated amalgamation of research contributions and industrial applications in the field of smart cities. Features: Provides the necessity of convergence of Big Data Analytics and IoT techniques in smart city application Challenges and Roles of IoT and Big Data in Smart City applications Provides Big Data-IoT intelligent smart systems in a global perspective Provides a predictive framework that can handle the traffic on abnormal days, such as weekends and festival holidays Gives various solutions and ideas for smart traffic development in smart cities Gives a brief idea of the available algorithms/techniques of Big Data and IoT and guides in developing a solution for smart city applications 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.

Applications of Artificial Intelligence, Big Data and Internet of Things in Sustainable Development

Sam Goundar,Archana Purwar,Ajmer Singh
Applications of Artificial Intelligence Big Data and Internet of Things in Sustainable Development Book PDF

Author : Sam Goundar,Archana Purwar,Ajmer Singh
Publisher : CRC Press
Page : 361 pages
File Size : 52,5 Mb
Release : 2022-10-19
Category : Computers
ISBN : 9781000652512

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Applications of Artificial Intelligence, Big Data and Internet of Things in Sustainable Development by Sam Goundar,Archana Purwar,Ajmer Singh Pdf

This book focuses on different algorithms and models related to AI, big data and IoT used for various domains. It enables the reader to have a broader and deeper understanding of several perspectives regarding the dynamics, challenges, and opportunities for sustainable development using artificial intelligence, big data and IoT. Applications of Artificial Intelligence, Big Data and Internet of Things (IoT) in Sustainable Development focuses on IT-based advancements in multidisciplinary fields such as healthcare, finance, bioinformatics, industrial automation, and environmental science. The authors discuss the key issues of security, management, and the realization of possible solutions to hurdles in sustainable development. The reader will master basic concepts and deep insights of various algorithms and models for various applications such as healthcare, finance, education, smart cities, smart cars, among others. Finally, the book will also examine the applications and implementation of big data IoT, AI strategies to facilitate the sustainable development goals set by the United Nations by 2030. This book is intended to help researchers, academics, and policymakers to analyze the challenges and future aspects for maintaining sustainable development through IoT, big data, and AI.

Mobility Patterns, Big Data and Transport Analytics

Constantinos Antoniou,Loukas Dimitriou,Francisco Pereira
Mobility Patterns Big Data and Transport Analytics Book PDF

Author : Constantinos Antoniou,Loukas Dimitriou,Francisco Pereira
Publisher : Elsevier
Page : 452 pages
File Size : 45,6 Mb
Release : 2018-11-27
Category : Social Science
ISBN : 9780128129715

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Mobility Patterns, Big Data and Transport Analytics by Constantinos Antoniou,Loukas Dimitriou,Francisco Pereira Pdf

Mobility Patterns, Big Data and Transport Analytics provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing and controlling mobility patterns - a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks, applications and concepts in mobility analysis and transportation systems. Users will find a detailed, mobility ‘structural’ analysis and a look at the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications and transportation systems analysis that are related to complex processes and phenomena. This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data’s impact on mobility and an introduction to the tools necessary to apply new techniques. The book covers in detail, mobility ‘structural’ analysis (and its dynamics), the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications, and transportation systems analysis related to complex processes and phenomena. The book bridges the gap between big data, data science, and Transportation Systems Analysis with a study of big data’s impact on mobility, and an introduction to the tools necessary to apply new techniques. Guides readers through the paradigm-shifting opportunities and challenges of handling Big Data in transportation modeling and analytics Covers current analytical innovations focused on capturing, predicting, visualizing, and controlling mobility patterns, while discussing future trends Delivers an introduction to transportation-related information advances, providing a benchmark reference by world-leading experts in the field Captures and manages mobility patterns, covering multiple purposes and alternative transport modes, in a multi-disciplinary approach Companion website features videos showing the analyses performed, as well as test codes and data-sets, allowing readers to recreate the presented analyses and apply the highlighted techniques to their own data

Handbook on Artificial Intelligence and Transport

Hussein Dia
Handbook on Artificial Intelligence and Transport Book PDF

Author : Hussein Dia
Publisher : Edward Elgar Publishing
Page : 649 pages
File Size : 49,9 Mb
Release : 2023-10-06
Category : Computers
ISBN : 9781803929545

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Handbook on Artificial Intelligence and Transport by Hussein Dia Pdf

With AI advancements eliciting imminent changes to our transport systems, this enlightening Handbook presents essential research on this evolution of the transportation sector. It focuses on not only urban planning, but relevant themes in law and ethics to form a unified resource on the practicality of AI use.

Computational Intelligence for Sustainable Transportation and Mobility

Deepak Gupta
Computational Intelligence for Sustainable Transportation and Mobility Book PDF

Author : Deepak Gupta
Publisher : Bentham Science Publishers
Page : 145 pages
File Size : 55,8 Mb
Release : 2021-12-16
Category : Computers
ISBN : 9781681089447

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Computational Intelligence for Sustainable Transportation and Mobility by Deepak Gupta Pdf

New technologies and computing methodologies are now used to address the existing issues of urban traffic systems. The development of computational intelligence methods such as machine learning and deep learning, enables engineers to find innovative solutions to guide traffic in order to reduce transportation and mobility problems in urban areas. This volume, Computational Intelligence for Sustainable Transportation and Mobility, presents several computing models for intelligent transportation systems, which may hold the key to achieving sustainable development goals by optimizing traffic flow and minimizing associated risks. The book begins with the basic computational Intelligence techniques for traffic systems and explains its applications in vehicular traffic prediction, model optimization, behavior analysis, traffic density estimation, and more. The main objectives of this book are to present novel techniques developed, new technologies and computational intelligence for sustainable mobility and transportation solutions, as well as giving an understanding of some Industry 4.0 trends. Readers will learn how to apply computational intelligence techniques such as multiagent systems (MAS), whale optimization, artificial Intelligence (AI), deep neural networks (DNNs) so that they can to develop algorithms, models, and approaches for sustainable transportation operations. Key Features: - Provides an overview of machine learning models and their optimization for intelligent transportation systems in urban areas - Covers classification of traffic behavior - Demonstrates the application of artificial immune system algorithms for traffic prediction - Covers traffic density estimation using deep learning models - Covers Fog and edge computing for intelligent transportation systems - Gives an IoT and Industry 4.0 perspective about intelligent transportation systems to readers - Presents a current perspective on an urban hyperloop system for India

Explainable Artificial Intelligence for Intelligent Transportation Systems

Amina Adadi,Afaf Bouhoute
Explainable Artificial Intelligence for Intelligent Transportation Systems Book PDF

Author : Amina Adadi,Afaf Bouhoute
Publisher : CRC Press
Page : 328 pages
File Size : 53,8 Mb
Release : 2023-10-20
Category : Technology & Engineering
ISBN : 9781000968477

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Explainable Artificial Intelligence for Intelligent Transportation Systems by Amina Adadi,Afaf Bouhoute Pdf

Artificial Intelligence (AI) and Machine Learning (ML) are set to revolutionize all industries, and the Intelligent Transportation Systems (ITS) field is no exception. While ML, especially deep learning models, achieve great performance in terms of accuracy, the outcomes provided are not amenable to human scrutiny and can hardly be explained. This can be very problematic, especially for systems of a safety-critical nature such as transportation systems. Explainable AI (XAI) methods have been proposed to tackle this issue by producing human interpretable representations of machine learning models while maintaining performance. These methods hold the potential to increase public acceptance and trust in AI-based ITS. FEATURES: Provides the necessary background for newcomers to the field (both academics and interested practitioners) Presents a timely snapshot of explainable and interpretable models in ITS applications Discusses ethical, societal, and legal implications of adopting XAI in the context of ITS Identifies future research directions and open problems

Logic-Driven Traffic Big Data Analytics

Shaopeng Zhong,Daniel (Jian) Sun
Logic Driven Traffic Big Data Analytics Book PDF

Author : Shaopeng Zhong,Daniel (Jian) Sun
Publisher : Springer Nature
Page : 296 pages
File Size : 40,8 Mb
Release : 2022-02-01
Category : Business & Economics
ISBN : 9789811680168

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Logic-Driven Traffic Big Data Analytics by Shaopeng Zhong,Daniel (Jian) Sun Pdf

This book starts from the relationship between urban built environment and travel behavior and focuses on analyzing the origin of traffic phenomena behind the data through multi-source traffic big data, which makes the book unique and different from the previous data-driven traffic big data analysis literature. This book focuses on understanding, estimating, predicting, and optimizing mobility patterns. Readers can find multi-source traffic big data processing methods, related statistical analysis models, and practical case applications from this book. This book bridges the gap between traffic big data, statistical analysis models, and mobility pattern analysis with a systematic investigation of traffic big data’s impact on mobility patterns and urban planning.

Modelling Intelligent Multi-Modal Transit Systems

Agostino Nuzzolo,William H. K. Lam
Modelling Intelligent Multi Modal Transit Systems Book PDF

Author : Agostino Nuzzolo,William H. K. Lam
Publisher : CRC Press
Page : 229 pages
File Size : 46,8 Mb
Release : 2017-02-17
Category : Computers
ISBN : 9781315351988

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Modelling Intelligent Multi-Modal Transit Systems by Agostino Nuzzolo,William H. K. Lam Pdf

The growing mobility needs of travellers have led to the development of increasingly complex and integrated multi-modal transit networks. Hence, transport agencies and transit operators are now more urgently required to assist in the challenging task of effectively and efficiently planning, managing, and governing transit networks. A pre-condition for the development of an effective intelligent multi-modal transit system is the integration of information and communication technology (ICT) tools that will support the needs of transit operators and travellers. To achieve this, reliable real-time simulation and short-term forecasting of passenger demand and service network conditions are required to provide both real-time traveller information and successfully synchronise transit service planning and operations control. Modelling Intelligent Multi-Modal Transit Systems introduces the current trends in this newly emerging area. Recent developments in information technology and telematics have enabled a large amount of data to become available, thus further attracting transport researchers to set up new models outside the context of the traditional data-driven approach. The alternative demand-supply interaction or network assignment modelling approach has improved greatly in recent years and has a crucial role to play in this new context.

Models and Technologies for Smart, Sustainable and Safe Transportation Systems

Stefano de Luca,Roberta Di Pace,Chiara Fiori
Models and Technologies for Smart Sustainable and Safe Transportation Systems Book PDF

Author : Stefano de Luca,Roberta Di Pace,Chiara Fiori
Publisher : BoD – Books on Demand
Page : 268 pages
File Size : 53,5 Mb
Release : 2021-07-28
Category : Technology & Engineering
ISBN : 9781838808020

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Models and Technologies for Smart, Sustainable and Safe Transportation Systems by Stefano de Luca,Roberta Di Pace,Chiara Fiori Pdf

Innovative and smart mobility systems are expected to make transportation systems more sustainable, inclusive, and safe. Because of changing mobility paradigms, transport planning and design require different methodological approaches. Over twelve chapters, this book examines and analyzes Mobility as a Service (MaaS), travel behavior, traffic control, intelligent transportation system design, electric, connected, and automated vehicles, and much more.

Deep Learning and Big Data for Intelligent Transportation

Khaled R. Ahmed,Aboul Ella Hassanien
Deep Learning and Big Data for Intelligent Transportation Book PDF

Author : Khaled R. Ahmed,Aboul Ella Hassanien
Publisher : Springer Nature
Page : 264 pages
File Size : 53,7 Mb
Release : 2021-04-10
Category : Computers
ISBN : 9783030656614

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Deep Learning and Big Data for Intelligent Transportation by Khaled R. Ahmed,Aboul Ella Hassanien Pdf

This book contributes to the progress towards intelligent transportation. It emphasizes new data management and machine learning approaches such as big data, deep learning and reinforcement learning. Deep learning and big data are very energetic and vital research topics of today’s technology. Road sensors, UAVs, GPS, CCTV and incident reports are sources of massive amount of data which are crucial to make serious traffic decisions. Herewith this substantial volume and velocity of data, it is challenging to build reliable prediction models based on machine learning methods and traditional relational database. Therefore, this book includes recent research works on big data, deep convolution networks and IoT-based smart solutions to limit the vehicle’s speed in a particular region, to support autonomous safe driving and to detect animals on roads for mitigating animal-vehicle accidents. This book serves broad readers including researchers, academicians, students and working professional in vehicles manufacturing, health and transportation departments and networking companies.

Introduction to Intelligent Systems in Traffic and Transportation

Ana L.C. Rosenfeld
Introduction to Intelligent Systems in Traffic and Transportation Book PDF

Author : Ana L.C. Rosenfeld
Publisher : Springer Nature
Page : 119 pages
File Size : 41,7 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031015656

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Introduction to Intelligent Systems in Traffic and Transportation by Ana L.C. Rosenfeld Pdf

Urban mobility is not only one of the pillars of modern economic systems, but also a key issue in the quest for equality of opportunity, once it can improve access to other services. Currently, however, there are a number of negative issues related to traffic, especially in mega-cities, such as economical issues (cost of opportunity caused by delays), environmental (externalities related to emissions of pollutants), and social (traffic accidents). Solutions to these issues are more and more closely tied to information and communication technology. Indeed, a search in the technical literature (using the keyword ``urban traffic" to filter out articles on data network traffic) retrieved the following number of articles (as of December 3, 2013): 9,443 (ACM Digital Library), 26,054 (Scopus), and 1,730,000 (Google Scholar). Moreover, articles listed in the ACM query relate to conferences as diverse as MobiCom, CHI, PADS, and AAMAS. This means that there is a big and diverse community of computer scientists and computer engineers who tackle research that is connected to the development of intelligent traffic and transportation systems. It is also possible to see that this community is growing, and that research projects are getting more and more interdisciplinary. To foster the cooperation among the involved communities, this book aims at giving a broad introduction into the basic but relevant concepts related to transportation systems, targeting researchers and practitioners from computer science and information technology. In addition, the second part of the book gives a panorama of some of the most exciting and newest technologies, originating in computer science and computer engineering, that are now being employed in projects related to car-to-car communication, interconnected vehicles, car navigation, platooning, crowd sensing and sensor networks, among others. This material will also be of interest to engineers and researchers from the traffic and transportation community.

Innovative Approaches and Solutions in Advanced Intelligent Systems

Svetozar Margenov,Galia Angelova,Gennady Agre
Innovative Approaches and Solutions in Advanced Intelligent Systems Book PDF

Author : Svetozar Margenov,Galia Angelova,Gennady Agre
Publisher : Springer
Page : 334 pages
File Size : 45,7 Mb
Release : 2016-04-29
Category : Technology & Engineering
ISBN : 9783319322070

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Innovative Approaches and Solutions in Advanced Intelligent Systems by Svetozar Margenov,Galia Angelova,Gennady Agre Pdf

This volume is a selected collection of papers presented and discussed at the International Conference “Advanced Computing for Innovation (AComIn 2015)”. The Conference was held at 10th -11th of November, 2015 in Sofia, Bulgaria and was aimed at providing a forum for international scientific exchange between Central/Eastern Europe and the rest of the world on several fundamental topics of computational intelligence. The papers report innovative approaches and solutions in hot topics of computational intelligence – advanced computing, language and semantic technologies, signal and image processing, as well as optimization and intelligent control.