Artificial Intelligence For Future Intelligent Transportation

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Artificial Intelligence for Future Intelligent Transportation

Author : Rajesh Kumar Dhanaraj,Nilayam Kumar Kamila,Subhendu Kumar Pani,Balamurugan Balusamy,Vani Rajasekar
Publisher : CRC Press
Page : 337 pages
File Size : 47,8 Mb
Release : 2024-01-09
Category : Computers
ISBN : 9781000906837

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Artificial Intelligence for Future Intelligent Transportation by Rajesh Kumar Dhanaraj,Nilayam Kumar Kamila,Subhendu Kumar Pani,Balamurugan Balusamy,Vani Rajasekar Pdf

Emphasizing a sustainable and green approach, this new book presents an overview of state-of-the-art AI strategies for solving transportation challenges around the world, with a focus on traffic management, traffic safety, public transportation, urban mobility, and pollution mitigation. The book examines modern AI technologies such as IoT, cloud computing, machine learning, and neural networking in the context of fully automated transportation that meets current requirements. The volume provides an informative review of the difficulties and recent developments in smart mobility and transportation, encompassing technical, algorithmic, and social elements. The volume examines innovative service and platform concepts for future mobility. Artificial intelligence principles are examined as well as their implementation in modern hardware architecture. New machine learning issues for autonomous vehicles and fleets are investigated in the framework of artificial intelligence. In addition, the book investigates the human dynamics and social implications of future mobility concepts. Highlighting the research directions in this field, Artificial Intelligence for Future Intelligent Transportation: Smarter and Greener Infrastructure Design will be of value for researchers in cybersecurity, machine learning, data analysis, and artificial intelligence. Ethical hackers, students, and faculty will find useful information here as well.

Explainable Artificial Intelligence for Intelligent Transportation Systems

Author : Amina Adadi,Afaf Bouhoute
Publisher : CRC Press
Page : 328 pages
File Size : 45,8 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

Deep Learning and Big Data for Intelligent Transportation

Author : Khaled R. Ahmed,Aboul Ella Hassanien
Publisher : Springer Nature
Page : 264 pages
File Size : 46,6 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.

Explainable Artificial Intelligence for Intelligent Transportation Systems

Author : Loveleen Gaur,Biswa Mohan Sahoo
Publisher : Springer Nature
Page : 103 pages
File Size : 43,5 Mb
Release : 2022-08-08
Category : Computers
ISBN : 9783031096440

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Explainable Artificial Intelligence for Intelligent Transportation Systems by Loveleen Gaur,Biswa Mohan Sahoo Pdf

Transportation typically entails crucial “life-death” choices, delegating crucial decisions to an AI algorithm without any explanation poses a serious threat. Hence, explainability and responsible AI is crucial in the context of intelligent transportation. In Intelligence Transportation System (ITS) implementations such as traffic management systems and autonomous driving applications, AI-based control mechanisms are gaining prominence. Explainable artificial intelligence for intelligent transportation system tackling certain challenges in the field of autonomous vehicle, traffic management system, data integration and analytics and monitor the surrounding environment. The book discusses and inform researchers on explainable Intelligent Transportation system. It also discusses prospective methods and techniques for enabling the interpretability of transportation systems. The book further focuses on ethical considerations apart from technical considerations.

Explainable AI for Intelligent Transportation Systems

Author : Amina Adadi,Afaf Bouhoute
Publisher : Unknown
Page : 0 pages
File Size : 42,7 Mb
Release : 2024
Category : Artificial intelligence
ISBN : 1032348534

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Explainable AI 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 be hardly explained. This can be very problematic especially for systems of a safety-critical nature such as transportation systems. Explainable AI 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. Examining explainable AI in the field of ITS, this book has the following key features: provides the necessary background for newcomers to the field (both academics and interested partitioners). 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"--

Smart Transportation

Author : Guido Dartmann,Anke Schmeink,Volker Lücken,Houbing Song,Martina Ziefle,Giovanni Prestiflippo
Publisher : CRC Press
Page : 224 pages
File Size : 47,9 Mb
Release : 2021-11-10
Category : Technology & Engineering
ISBN : 9781000405651

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Smart Transportation by Guido Dartmann,Anke Schmeink,Volker Lücken,Houbing Song,Martina Ziefle,Giovanni Prestiflippo Pdf

The book provides a broad overview of the challenges and recent developments in the field of smart mobility and transportation, including technical, algorithmic and social aspects of smart mobility and transportation. It reviews new ideas for services and platforms for future mobility. New concepts of artificial intelligence and the implementation in new hardware architecture are discussed. In the context of artificial intelligence, new challenges of machine learning for autonomous vehicles and fleets are investigated. The book also investigates human factors and social questions of future mobility concepts. The goal of this book is to provide a holistic approach towards smart transportation. The book reviews new technologies such as the cloud, machine learning and communication for fully atomatized transport, catering to the needs of citizens. This will lead to complete change of concepts in transportion.

Augmented Intelligence Toward Smart Vehicular Applications

Author : Nishu Gupta,Joel Rodrigues,Justin Dauwels
Publisher : CRC Press
Page : 225 pages
File Size : 44,8 Mb
Release : 2020-12-18
Category : Computers
ISBN : 9781000259957

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Augmented Intelligence Toward Smart Vehicular Applications by Nishu Gupta,Joel Rodrigues,Justin Dauwels Pdf

This up-to-date reference discusses important concepts of vehicular communication in intelligent transportation systems. Augmented Intelligence Toward Smart Vehicular Applications begins by discussing key objectives of intelligent transport systems and vehicular ad-hoc networks (VANETs). It then goes on to discuss challenges, applications and future trends in VANETs. The text focuses on the organization of artificial intelligence (AI) and aspects of deep learning algorithms, particularly multimodal transport. This book will serve as an ideal reference for graduate students and academic researchers in the field of electrical engineering, electronics and communication engineering and transportation engineering. Features In-depth coverage of Internet of Things (IoT) in vehicular applications Discussion on nn-vehicle sensor networks Implementation of mobile IP and migration of IPv6 Focus on the need of AI in smart vehicular applications Discussions on advanced concepts in the field of intelligent transport systems

The Future of Intelligent Transport Systems

Author : George J. Dimitrakopoulos,Lorna Uden,Iraklis Varlamis
Publisher : Elsevier
Page : 274 pages
File Size : 53,9 Mb
Release : 2020-02-19
Category : Transportation
ISBN : 9780128182826

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The Future of Intelligent Transport Systems by George J. Dimitrakopoulos,Lorna Uden,Iraklis Varlamis Pdf

The Future of Intelligent Transport Systems considers ITS from three perspectives: users, business models and regulation/policy. Topics cover in-vehicle applications, such as autonomous driving, vehicle-to-vehicle/vehicle-to-infrastructure communication, and related applications, such as personalized mobility. The book also examines ITS technology enablers, such as sensing technologies, wireless communication, computational technology, user behavior as part of the transportation chain, financial models that influence ITS, regulations, policies and standards affecting ITS, and the future of ITS applications. Users will find a holistic approach to the most recent technological advances and the future spectrum of mobility. Systematically presents the whole spectrum of next generation Intelligent Transport Systems (ITS) technologies Integrates coverage of personalized mobility and digital assistants, big data analytics and autonomous driving Includes end-of-chapter, open-ended questions that trigger thinking on the technological, managerial and regulatory aspects of ITS

Internet of Things and Artificial Intelligence in Transportation Revolution

Author : Miltiadis D. Lytras,Kwok Tai Chui,Ryan Wen Liu
Publisher : MDPI
Page : 232 pages
File Size : 46,7 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.

Intelligent Transportation Systems: Theory and Practice

Author : Amit Kumar Tyagi,Niladhuri Sreenath
Publisher : Springer Nature
Page : 407 pages
File Size : 54,7 Mb
Release : 2022-11-25
Category : Technology & Engineering
ISBN : 9789811976223

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Intelligent Transportation Systems: Theory and Practice by Amit Kumar Tyagi,Niladhuri Sreenath Pdf

This book provides fundamental principles of intelligent transport systems with comprehensive insight and state of the art of vehicles, vehicular technology, connecting vehicles, and intelligent vehicles/autonomous intelligent vehicles. The book discusses different approaches for multiple sensor-based multiple-objects tracking, in addition to blockchain-based solutions for building tamper-proof sensing devices. It introduces various algorithms for security, privacy, and trust for intelligent vehicles. This book countermeasures all the drawbacks and provides useful information to students, researchers, and scientific communities. It contains chapters from national and international experts and will be essential for researchers and advanced students from academia, and industry experts who are working on intelligent transportation systems.

Evaluating Intelligent Transportation Systems, Advanced Traveler Information Systems, and Other Artificial Intelligence Applications

Author : Anonim
Publisher : Unknown
Page : 102 pages
File Size : 48,7 Mb
Release : 2000
Category : Electronic
ISBN : OCLC:61474636

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Evaluating Intelligent Transportation Systems, Advanced Traveler Information Systems, and Other Artificial Intelligence Applications by Anonim Pdf

Transportation Research Record contains the following papers: Comparison of low-fidelity TRANSIMS and high-fidelity CORSIM highway simulation models with intelligent transportation system data (Rilett, LR, Kim, KO and Raney, B); ARTIMIS telephone travel information service : current use patterns and user satisfaction (Hall, LA, Bowling, S and Asher, JC); Likely users of advanced traveler information systems : evidence from the Seattle region (Mehndiratta, SR, Kemp, MA, Lappin, JE and Nierenberg, E); Benefit-cost evaluation of traveler information : Seattle's Washington State Department of Transportation website (Lee, DB); Seattle metropolitan model deployment initiative evaluation : results and key findings from modeling (Wunderlich, K, Bunch, J and Larkin, J); Fast emergency vehicle preemption systems (Shibuya, S, Yoshida, T, Yamashiro, Z and Miyawaki, M); Assessment of rural intelligent transportation system wireless communications solutions (Yanke, Q, Sisiopiku, V and Arnold, JA); Estimating an origin-destination table under repeated counts of in-out volumes at highway ramps : use of artificial neural networks (Kikuchi, S and Tanaka, M); Dynamic estimation of origin-destination travel time and flow on a long freeway corridor : neural kalman filter (Suzuki, H, Nakatsuji, T and Tanaboriboon, Y); Performance evaluation of neural networks in concrete condition assessment (Martinelli, DR and Shoukry, SN); Knowledge acquisition, verification, and validation in an expert system for improved traffic safety (Herland, L, Moller, B and Schandersson, R); Determining the overall value of implemented new technology in transportation : integrated multiple objective-attribute methodology (Mattingly, SG, Jayakrishnan, R and McNally, MC).

Toward Sustainable And Economic Smart Mobility: Shaping The Future Of Smart Cities

Author : Mahmoud Hashem Eiza,Yue Cao,Lexi Xu
Publisher : World Scientific
Page : 212 pages
File Size : 42,5 Mb
Release : 2020-06-18
Category : Technology & Engineering
ISBN : 9781786347879

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Toward Sustainable And Economic Smart Mobility: Shaping The Future Of Smart Cities by Mahmoud Hashem Eiza,Yue Cao,Lexi Xu Pdf

During the last decade, developments in smart cars, mobile devices, internet of things and vehicular communications are revolutionizing the future of smart cities. With the rapid integration of these smart devices into our surroundings, we are heading to a new era of a highly connected and environmentally friendly ecosystem.This book offers a unique opportunity for the reader to explore state-of-the-art developments in applications, technologies (e.g., Big Data and artificial intelligence), services and research trends in smart mobility for smart cities. It also provides a reference for professionals and researchers in the areas of smart mobility (e.g., autonomous valet parking, passenger trajectory data, smart traffic control systems) and recent technical trends on their enabling technologies. The materials have been carefully selected to reflect the latest developments in the field with many novel contributions from academics and industry experts from around the world.

Emerging Cutting-Edge Developments in Intelligent Traffic and Transportation Systems

Author : M. Shafik
Publisher : IOS Press
Page : 342 pages
File Size : 54,6 Mb
Release : 2024-03-05
Category : Transportation
ISBN : 9781643685052

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Emerging Cutting-Edge Developments in Intelligent Traffic and Transportation Systems by M. Shafik Pdf

With the advent and development of AI and other new technologies, traffic and transportation have changed enormously in recent years, and the need for more environmentally-friendly solutions is also driving innovation in these fields. This book presents the proceedings of ICITT 2023, the 7th International Conference on Intelligent Traffic and Transportation, held from 18-20 September 2023 in Madrid, Spain. This annual conference is becoming one of the leading international conferences for presenting novel and fundamental advances in the fields of intelligent traffic and transportation. It also serves to foster communication among researchers and practitioners working in a wide variety of scientific areas with a common interest in intelligent traffic and transportation and related techniques. ICITT welcomes scholars and researchers from all over the world to share experiences and lessons with other enthusiasts, and develop opportunities for cooperation. The 27 papers included here represent an acceptance rate of 64% of submissions received, and were selected following a rigorous review process. Topics covered include autonomous technology; industrial automation; artificial intelligence; machine, deep and cognitive learning; distributed networking; transportation in future smart cities; hybrid vehicle technology; mobility; cyber-physical systems; design and cost engineering; enterprise information management; product design; intelligent automation; ICT-enabled collaborative global manufacturing; knowledge management; product-service systems; optimization; product lifecycle management; sustainable systems; machine vision; Industry 4.0; and navigation systems. Offering an overview of recent research and current practice, the book will be of interest to all those working in the field.

Augmented Intelligence Towards Smart Vehicular Applications

Author : Nishu Gupta,Joel J. P. Coelho Rodrigues,Justin Dauwels
Publisher : CRC Press
Page : 208 pages
File Size : 53,7 Mb
Release : 2020-12
Category : Computers
ISBN : 1003006817

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Augmented Intelligence Towards Smart Vehicular Applications by Nishu Gupta,Joel J. P. Coelho Rodrigues,Justin Dauwels Pdf

This up-to-date reference text discusses important concepts of vehicular communication in intelligent transportation systems. The text begins by discussing the key objectives of intelligent transport systems and Vehicular ad-hoc networks (VANETs). It then goes on to discuss challenges, applications, and future trends in Vehicular ad-hoc networks. The text focuses on the organization of Artificial Intelligence (AI) and aspects of deep learning algorithms, particularly multimodal transport. The text will serve as an ideal reference for graduate students and academic researchers in the field of electrical engineering, electronics and communication engineering, and transportation engineering.