Machine Learning For Transportation Research And Applications

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Machine Learning for Transportation Research and Applications

Yinhai Wang,Zhiyong Cui,Ruimin Ke
Machine Learning for Transportation Research and Applications Book PDF

Author : Yinhai Wang,Zhiyong Cui,Ruimin Ke
Publisher : Elsevier
Page : 254 pages
File Size : 40,6 Mb
Release : 2023-04-19
Category : Business & Economics
ISBN : 9780323996808

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Machine Learning for Transportation Research and Applications by Yinhai Wang,Zhiyong Cui,Ruimin Ke Pdf

Transportation is a combination of systems that presents a variety of challenges often too intricate to be addressed by conventional parametric methods. Increasing data availability and recent advancements in machine learning provide new methods to tackle challenging transportation problems. This textbookis designed for college or graduate-level students in transportation or closely related fields to study and understand fundamentals in machine learning. Readers will learn how to develop and apply various types of machine learning models to transportation-related problems. Example applications include traffic sensing, data-quality control, traffic prediction, transportation asset management, traffic-system control and operations, and traffic-safety analysis. Introduces fundamental machine learning theories and methodologies Presents state-of-the-art machine learning methodologies and their incorporation into transportationdomain knowledge Includes case studies or examples in each chapter that illustrate the application of methodologies andtechniques for solving transportation problems Provides practice questions following each chapter to enhance understanding and learning Includes class projects to practice coding and the use of the methods

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 : 43,6 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.

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 : 49,8 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.

Neural Networks in Transport Applications

Veli Himanen,Peter Nijkamp,Aura Reggiani
Neural Networks in Transport Applications Book PDF

Author : Veli Himanen,Peter Nijkamp,Aura Reggiani
Publisher : Routledge
Page : 367 pages
File Size : 44,7 Mb
Release : 2019-07-09
Category : Social Science
ISBN : 9780429817649

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Neural Networks in Transport Applications by Veli Himanen,Peter Nijkamp,Aura Reggiani Pdf

First published in 1998, this volume enters the debate on human behaviour in the form of neural networks in a spatial context. As most transportation research techniques had been developed in the 1960s and 1970s, these authors sought to bring that research into the modern era. Featuring 17 articles from 37 contributors, it begins with an overview and proceeds to examine aspects of travel behaviour, traffic flow and traffic management.

Advances of Machine Learning in Clean Energy and the Transportation Industry

Pandian Vasant
Advances of Machine Learning in Clean Energy and the Transportation Industry Book PDF

Author : Pandian Vasant
Publisher : Unknown
Page : 128 pages
File Size : 52,9 Mb
Release : 2021-11-30
Category : Electronic
ISBN : 1685072119

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Advances of Machine Learning in Clean Energy and the Transportation Industry by Pandian Vasant Pdf

This book presents the latest research in the field of machine learning, discussing the real-world application problems associated with new innovative renewable energy methodologies as well as cutting edge technologies in the transport industry. The requirements and demands of problem solving have been increasing exponentially, and new artificial intelligence and machine learning technologies have reduced the scope of data coverage worldwide. Recent advances in data technology (DT) have contributed to reducing the gaps in the coverage of domains around the globe.Attention to clean energy in recent decades has been growing exponentially. This is mainly due to a decrease in the cost of both installed capacity of converters and a decrease in the cost of generated energy. Such successes were achieved thanks to the improvement of modern technologies for the production of converters, an increase in the efficiency of using incoming energy, optimization of the operation of converters and analysis of data obtained during the operation of systems with the possibility of planning production. The use of clean energy plays an important role in the transportation industry, where technologies are also being improved from year to year - the transportation industry is growing, and machinery and systems are becoming more autonomous and robotic, where it is no longer possible to do without complex intelligent computing, machine learning optimization, planning and working with large amounts of data.The book is a valuable reference work for researchers in the fields of renewable energy, computer science and engineering with a particular focus on machine learning and intelligent optimization as well as for postgraduates, managers, economists and decision makers, policy makers, government officials, industrialists and practicing scientists and engineers as well compassionate global decision makers. Topics include: Machine learning, Quantum Optimization, Modern Technology in Transport Industry, Innovative Technologies in Transport Education, Systems Based on Renewable Energy Conversion, Business Process Models and Applications in Renewable Energy, Clean Energy, and Climate Change.

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 : 49,9 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

Applications of Agent Technology in Traffic and Transportation

Franziska Klügl,Ana Bazzan,Sascha Ossowski
Applications of Agent Technology in Traffic and Transportation Book PDF

Author : Franziska Klügl,Ana Bazzan,Sascha Ossowski
Publisher : Springer Science & Business Media
Page : 209 pages
File Size : 47,8 Mb
Release : 2006-03-30
Category : Computers
ISBN : 9783764373634

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Applications of Agent Technology in Traffic and Transportation by Franziska Klügl,Ana Bazzan,Sascha Ossowski Pdf

Building effective and user-friendly transportation systems is one of the big challenges for engineers in the 21st century. There is an increasing need to understand, model, and govern such systems at both, the individual and the society level. Traffic and transportation scenarios are extraordinarily appealing for Distributed Artificial Intelligence, and (multi-)agent technology in particular. This book gives an overview of recent advances in agent-based transportation systems.

Applications of Machine Learning and Data Analytics Models in Maritime Transportation

Ran Yan,Shuaian Wang
Applications of Machine Learning and Data Analytics Models in Maritime Transportation Book PDF

Author : Ran Yan,Shuaian Wang
Publisher : Transportation
Page : 0 pages
File Size : 44,7 Mb
Release : 2023-02-15
Category : Technology & Engineering
ISBN : 1839535598

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Applications of Machine Learning and Data Analytics Models in Maritime Transportation by Ran Yan,Shuaian Wang Pdf

This book explores the principles of analysing maritime-transportation related practical problems using data-driven models, with a particular focus on machine learning. Coverage includes data-enabled methodologies, technologies, applications and case studies.

Advanced Data Mining and Applications

Hiroshi Motoda,Zhaohui Wu,Longbing Cao,Osmar Zaiane,Min Yao,Wei Wang
Advanced Data Mining and Applications Book PDF

Author : Hiroshi Motoda,Zhaohui Wu,Longbing Cao,Osmar Zaiane,Min Yao,Wei Wang
Publisher : Springer
Page : 556 pages
File Size : 45,8 Mb
Release : 2013-12-16
Category : Computers
ISBN : 9783642539176

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Advanced Data Mining and Applications by Hiroshi Motoda,Zhaohui Wu,Longbing Cao,Osmar Zaiane,Min Yao,Wei Wang Pdf

The two-volume set LNAI 8346 and 8347 constitutes the thoroughly refereed proceedings of the 9th International Conference on Advanced Data Mining and Applications, ADMA 2013, held in Hangzhou, China, in December 2013. The 32 regular papers and 64 short papers presented in these two volumes were carefully reviewed and selected from 222 submissions. The papers included in these two volumes cover the following topics: opinion mining, behavior mining, data stream mining, sequential data mining, web mining, image mining, text mining, social network mining, classification, clustering, association rule mining, pattern mining, regression, predication, feature extraction, identification, privacy preservation, applications, and machine learning.

Internet of Things and Artificial Intelligence in Transportation Revolution

Miltiadis D. Lytras,Kwok Tai Chui,Ryan Wen Liu
Internet of Things and Artificial Intelligence in Transportation Revolution Book PDF

Author : Miltiadis D. Lytras,Kwok Tai Chui,Ryan Wen Liu
Publisher : MDPI
Page : 232 pages
File Size : 46,9 Mb
Release : 2021-04-14
Category : Technology & Engineering
ISBN : 9783036503103

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Internet of Things and Artificial Intelligence in Transportation Revolution by Miltiadis D. Lytras,Kwok Tai Chui,Ryan Wen Liu Pdf

The advent of Internet of Things offers a scalable and seamless connection of physical objects, including human beings and devices. This, along with artificial intelligence, has moved transportation towards becoming intelligent transportation. This book is a collection of eleven articles that have served as examples of the success of internet of things and artificial intelligence deployment in transportation research. Topics include collision avoidance for surface ships, indoor localization, vehicle authentication, traffic signal control, path-planning of unmanned ships, driver drowsiness and stress detection, vehicle density estimation, maritime vessel flow forecast, and vehicle license plate recognition. High-performance computing services have become more affordable in recent years, which triggered the adoption of deep-learning-based approaches to increase the performance standards of artificial intelligence models. Nevertheless, it has been pointed out by various researchers that traditional shallow-learning-based approaches usually have an advantage in applications with small datasets. The book can provide information to government officials, researchers, and practitioners. In each article, the authors have summarized the limitations of existing works and offered valuable information on future research directions.

Handbook of Research on Machine Learning

Monika Mangla,Subhash K. Shinde,Vaishali Mehta,Nonita Sharma,Sachi Nandan Mohanty
Handbook of Research on Machine Learning Book PDF

Author : Monika Mangla,Subhash K. Shinde,Vaishali Mehta,Nonita Sharma,Sachi Nandan Mohanty
Publisher : CRC Press
Page : 617 pages
File Size : 50,7 Mb
Release : 2022-08-04
Category : Computers
ISBN : 9781000565720

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Handbook of Research on Machine Learning by Monika Mangla,Subhash K. Shinde,Vaishali Mehta,Nonita Sharma,Sachi Nandan Mohanty Pdf

This volume takes the reader on a technological voyage of machine learning advancements, highlighting the systematic changes in algorithms, challenges, and constraints. The technological advancements in the ML arena have transformed and revolutionized several fields, including transportation, agriculture, finance, weather monitoring, and others. This book brings together researchers, authors, industrialists, and academicians to cover a vast selection of topics in ML, starting with the rudiments of machine learning approaches and going on to specific applications in healthcare and industrial automation. The book begins with an overview of the ethics, security and privacy issues, future directions, and challenges in machine learning as well as a systematic review of deep learning techniques and provides an understanding of building generative adversarial networks. Chapters explore predictive data analytics for health issues. The book also adds a macro dimension by highlighting the industrial applications of machine learning, such as in the steel industry, for urban information retrieval, in garbage detection, in measuring air pollution, for stock market predictions, for underwater fish detection, as a fake news predictor, and more.

Handbook of Research on Decision Sciences and Applications in the Transportation Sector

Hassan, Said Ali,Mohamed, Ali Wagdy
Handbook of Research on Decision Sciences and Applications in the Transportation Sector Book PDF

Author : Hassan, Said Ali,Mohamed, Ali Wagdy
Publisher : IGI Global
Page : 419 pages
File Size : 41,8 Mb
Release : 2021-06-25
Category : Business & Economics
ISBN : 9781799880424

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Handbook of Research on Decision Sciences and Applications in the Transportation Sector by Hassan, Said Ali,Mohamed, Ali Wagdy Pdf

The advancements in decision sciences theory and applications can be regarded as a continuously emerging field in all areas of interest including technology, industry, energy, healthcare, education, agriculture, social sciences, and more. Managers in all disciplines face an endless list of complex issues every day. One of the essential managerial skills is the ability to allocate and utilize limited resources appropriately in the efforts of achieving optimal performance efficiently. This is no less important for those who work in the transportation sector. The Handbook of Research on Decision Sciences and Applications in the Transportation Sector explores the importance of decision sciences and the ways in which they apply to the transportation sector. This book covers technologies and tools including machine learning, mathematical modeling, and simulation and their applications in such tasks as reducing fuel costs, improving passenger flow, and ensuring vehicle safety. It is an essential reference source for managers, professionals in the transport industry, supply chain specialists, safety officers, IT consultants, executives, practitioners, scientists, students, researchers, and academicians.

Deep Learning and Its Applications for Vehicle Networks

Fei Hu,Iftikhar Rasheed
Deep Learning and Its Applications for Vehicle Networks Book PDF

Author : Fei Hu,Iftikhar Rasheed
Publisher : CRC Press
Page : 608 pages
File Size : 49,5 Mb
Release : 2023-05-12
Category : Computers
ISBN : 9781000877250

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Deep Learning and Its Applications for Vehicle Networks by Fei Hu,Iftikhar Rasheed Pdf

Deep Learning (DL) is an effective approach for AI-based vehicular networks and can deliver a powerful set of tools for such vehicular network dynamics. In various domains of vehicular networks, DL can be used for learning-based channel estimation, traffic flow prediction, vehicle trajectory prediction, location-prediction-based scheduling and routing, intelligent network congestion control mechanism, smart load balancing and vertical handoff control, intelligent network security strategies, virtual smart and efficient resource allocation and intelligent distributed resource allocation methods. This book is based on the work from world-famous experts on the application of DL for vehicle networks. It consists of the following five parts: (I) DL for vehicle safety and security: This part covers the use of DL algorithms for vehicle safety or security. (II) DL for effective vehicle communications: Vehicle networks consist of vehicle-to-vehicle and vehicle-to-roadside communications. This part covers how Intelligent vehicle networks require a flexible selection of the best path across all vehicles, adaptive sending rate control based on bandwidth availability and timely data downloads from a roadside base-station. (III) DL for vehicle control: The myriad operations that require intelligent control for each individual vehicle are discussed in this part. This also includes emission control, which is based on the road traffic situation, the charging pile load is predicted through DL andvehicle speed adjustments based on the camera-captured image analysis. (IV) DL for information management: This part covers some intelligent information collection and understanding. We can use DL for energy-saving vehicle trajectory control based on the road traffic situation and given destination information; we can also natural language processing based on DL algorithm for automatic internet of things (IoT) search during driving. (V) Other applications. This part introduces the use of DL models for other vehicle controls. Autonomous vehicles are becoming more and more popular in society. The DL and its variants will play greater roles in cognitive vehicle communications and control. Other machine learning models such as deep reinforcement learning will also facilitate intelligent vehicle behavior understanding and adjustment. This book will become a valuable reference to your understanding of this critical field.

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 : 46,6 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

Autonomous Vehicles, Volume 1

Romil Rawat,A. Mary Sowjanya,Syed Imran Patel,Varshali Jaiswal,Imran Khan,Allam Balaram
Autonomous Vehicles Volume 1 Book PDF

Author : Romil Rawat,A. Mary Sowjanya,Syed Imran Patel,Varshali Jaiswal,Imran Khan,Allam Balaram
Publisher : John Wiley & Sons
Page : 324 pages
File Size : 55,6 Mb
Release : 2022-11-30
Category : Technology & Engineering
ISBN : 9781119871965

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Autonomous Vehicles, Volume 1 by Romil Rawat,A. Mary Sowjanya,Syed Imran Patel,Varshali Jaiswal,Imran Khan,Allam Balaram Pdf

AUTONOMOUS VEHICLES Addressing the current challenges, approaches and applications relating to autonomous vehicles, this groundbreaking new volume presents the research and techniques in this growing area, using Internet of Things (IoT), Machine Learning (ML), Deep Learning, and Artificial Intelligence (AI). This book provides and addresses the current challenges, approaches, and applications relating to autonomous vehicles, using Internet of Things (IoT), machine learning, deep learning, and Artificial Intelligence (AI) techniques. Several self-driving or autonomous (“driverless”) cars, trucks, and drones incorporate a variety of IoT devices and sensing technologies such as sensors, gyroscopes, cloud computing, and fog layer, allowing the vehicles to sense, process, and maintain massive amounts of data on traffic, routes, suitable times to travel, potholes, sharp turns, and robots for pipe inspection in the construction and mining industries. Few books are available on the practical applications of unmanned aerial vehicles (UAVs) and autonomous vehicles from a multidisciplinary approach. Further, the available books only cover a few applications and designs in a very limited scope. This new, groundbreaking volume covers real-life applications, business modeling, issues, and solutions that the engineer or industry professional faces every day that can be transformed using intelligent systems design of autonomous systems. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.