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Mobility Data Driven Urban Traffic Monitoring


Mobility Data Driven Urban Traffic Monitoring
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Mobility Data Driven Urban Traffic Monitoring


Mobility Data Driven Urban Traffic Monitoring
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Author : Zhidan Liu
language : en
Publisher: Springer Nature
Release Date : 2021-05-18

Mobility Data Driven Urban Traffic Monitoring written by Zhidan Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-18 with Computers categories.


This book introduces the concepts of mobility data and data-driven urban traffic monitoring. A typical framework of mobility data-based urban traffic monitoring is also presented, and it describes the processes of mobility data collection, data processing, traffic modelling, and some practical issues of applying the models for urban traffic monitoring. This book presents three novel mobility data-driven urban traffic monitoring approaches. First, to attack the challenge of mobility data sparsity, the authors propose a compressive sensing-based urban traffic monitoring approach. This solution mines the traffic correlation at the road network scale and exploits the compressive sensing theory to recover traffic conditions of the whole road network from sparse traffic samplings. Second, the authors have compared the traffic estimation performances between linear and nonlinear traffic correlation models and proposed a dynamical non-linear traffic correlation modelling-based urban traffic monitoring approach. To address the challenge of involved huge computation overheads, the approach adapts the traffic modelling and estimations tasks to Apache Spark, a popular parallel computing framework. Third, in addition to mobility data collected by the public transit systems, the authors present a crowdsensing-based urban traffic monitoring approach. The proposal exploits the lightweight mobility data collected from participatory bus riders to recover traffic statuses through careful data processing and analysis. Last but not the least, the book points out some future research directions, which can further improve the accuracy and efficiency of mobility data-driven urban traffic monitoring at large scale. This book targets researchers, computer scientists, and engineers, who are interested in the research areas of intelligent transportation systems (ITS), urban computing, big data analytic, and Internet of Things (IoT). Advanced level students studying these topics benefit from this book as well.



Mobility Patterns Big Data And Transport Analytics


Mobility Patterns Big Data And Transport Analytics
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Author : Constantinos Antoniou
language : en
Publisher: Elsevier
Release Date : 2025-06-01

Mobility Patterns Big Data And Transport Analytics written by Constantinos Antoniou and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-01 with Business & Economics categories.


Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling, Second Edition 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. Fields covered are evolving rapidly, and this new edition updates existing material and provides new chapters that reflect recent developments in the field (such as the emergence of active, transfer and reinforcement learning). Users will find a detailed, mobility ‘structural’ analysis and a look at the extensive behavioral characteristics of transport, observability requirements, 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.



Cognitive Computing For Smart Automotive Transportation


Cognitive Computing For Smart Automotive Transportation
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Author : G. R. Kanagachidambaresan
language : en
Publisher: CRC Press
Release Date : 2025-06-19

Cognitive Computing For Smart Automotive Transportation written by G. R. Kanagachidambaresan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-19 with Computers categories.


This reference book explores the integration of cognitive computing technologies in the automotive industry to enhance smart transportation systems. It focuses on how AI, machine learning, and data analytics can improve vehicle automation, safety, and efficiency. Automation can support driverless vehicle transportation and bridge the gap between manual control and fully automated navigation systems. The text introduces a discussion on numerous applications of cognitive computing in smart transportation, motion planning, situation awareness, dynamic driving, adaptive behavior, human intent measurement, and predictive analysis. Key Features: • Discusses basic concepts and architecture of cognitive computing for vehicular systems. • Presents technologies to measure human intent for vehicle safety, including emergency management systems (EMS). • Covers the perception and localization processes in autonomous driving through LiDAR, GPS, and Stereo vision data with critical decision‐making and simulation results. • Elucidates the application of motion planning for smart transportation. • Covers visual perception technologies for advanced driver assistance systems (ADAS) through deep learning. The text is primarily written for graduate students, academic researchers, and professionals in the fields of computer science, electrical engineering, automotive engineering, and civil engineering.



Designing Green Cities Of Tomorrow Lessons From The Visionary Minds


Designing Green Cities Of Tomorrow Lessons From The Visionary Minds
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date :

Designing Green Cities Of Tomorrow Lessons From The Visionary Minds written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on with Design categories.


In Designing Green Cities of Tomorrow: Lessons from the Visionary Minds, Pasquale De Marco takes readers on a captivating journey through the world of green cities, showcasing innovative approaches to urban planning, design, and governance that prioritize environmental protection, social equity, and economic prosperity. Drawing inspiration from visionary thinkers like Walt Disney and examining real-world examples from around the globe, this comprehensive guide offers a roadmap for creating thriving, resilient, and sustainable cities of the future. From the initial conceptualization of experimental communities to the practical implementation of green building technologies, Designing Green Cities of Tomorrow: Lessons from the Visionary Minds covers a wide range of topics crucial to the development of sustainable urban environments. Delving into the intricate relationship between energy management and resource conservation, the book highlights strategies for reducing carbon emissions and transitioning to renewable energy sources. It explores the role of urban transportation in shaping sustainable cities, advocating for pedestrian-friendly designs, public transportation systems, and innovative mobility solutions. Furthermore, Designing Green Cities of Tomorrow: Lessons from the Visionary Minds emphasizes the significance of green infrastructure and urban greenery in promoting biodiversity, improving air and water quality, and mitigating the effects of climate change. It also underscores the importance of social sustainability, advocating for inclusive communities, equitable access to resources, and the preservation of cultural heritage. As we navigate the complexities of the 21st century, the need for sustainable cities has never been greater. Designing Green Cities of Tomorrow: Lessons from the Visionary Minds serves as an essential resource for urban planners, architects, policymakers, and anyone passionate about creating a more sustainable future for our planet. It offers a wealth of knowledge, inspiration, and practical guidance, empowering readers to envision and build thriving, resilient, and sustainable cities where people and nature can flourish in harmony. With its in-depth analysis, thought-provoking insights, and inspiring examples, Designing Green Cities of Tomorrow: Lessons from the Visionary Minds is a must-read for anyone seeking to understand and contribute to the creation of sustainable urban environments. If you like this book, write a review!



Data Driven Traffic Engineering


Data Driven Traffic Engineering
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Author : Hubert Rehborn
language : en
Publisher: Elsevier
Release Date : 2020-10-23

Data Driven Traffic Engineering written by Hubert Rehborn and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-23 with Transportation categories.


Data-Driven Traffic Engineering: Understanding of Traffic and Applications Based on Three-Phase Traffic Theory shifts the current focus from using modeling and simulation data for traffic measurements to the use of actual data. The book uses real-world, empirically-derived data from a large fleet of connected vehicles, local observations and aerial observation to shed light on key traffic phenomena. Readers will learn how to develop an understanding of the empirical features of vehicular traffic networks and how to consider these features in emerging, intelligent transport systems. Topics cover congestion patterns, fuel consumption, the influence of weather, and much more. This book offers a unique, data-driven analysis of vehicular traffic in traffic networks, also considering how to apply data-driven insights to the intelligent transport systems of the future. - Provides an empirically-driven analysis of traffic measurements/congestion based on real-world data collected from a global fleet of vehicles - Applies Kerner's three-phase traffic theory to empirical data - Offers a critical scientific understanding of the underlying concerns of traffic control in automated driving and intelligent transport systems



Real World Applications Of Ai Innovation


Real World Applications Of Ai Innovation
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Author : Mallik, Saurav
language : en
Publisher: IGI Global
Release Date : 2024-12-02

Real World Applications Of Ai Innovation written by Mallik, Saurav and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-02 with Computers categories.


Artificial intelligence (AI) innovation works to transform various sectors, driving efficiency, enhancing decision-making, and creating new opportunities for growth. From healthcare and finance to agriculture and entertainment, real-world applications of AI are demonstrating its potential to solve complex problems and improve everyday life. As these technologies continue to evolve, further exploration into the integration of AI into different fields may allow for a more efficient, sustainable, and innovative future. Real-World Applications of AI Innovation explores the latest advancements and practical applications of artificial intelligence across various domains. It delves into cutting-edge AI methodologies, algorithms, and technologies, providing readers with a deep understanding of the current landscape and future trends in AI research and development. This book covers topics such as smart farming, machine learning, and deep neural networks, and is a useful resource for computer engineers, scientists, medical professionals, agriculturalists, educators, researchers, academicians, and business owners.



Driving Green Transportation System Through Artificial Intelligence And Automation


Driving Green Transportation System Through Artificial Intelligence And Automation
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Author : Alex Khang
language : en
Publisher: Springer Nature
Release Date : 2025-01-11

Driving Green Transportation System Through Artificial Intelligence And Automation written by Alex Khang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-11 with Technology & Engineering categories.


This book is designed to help transportation professionals and construction experts to develop and implement successful smart systems, leveraging the current trends, equipment, and advanced technologies to drive the green transportation system development. Artificial intelligence (AI) is a new direction that has opened a revolution in technology and smart applications, and it is also the basis for creating a green environment in the net-zero era. Therefore, machines, devices, self-driving car, and robots controlled by artificial intelligence-based systems are now the model of a smart transportation ecosystem for which all these technologies are referred to as "green" industries. In past years, the idea of making a green environment has been existing and moving on the society 5.0 being as a country strategy, and today, AI technology continues its development on this prototype. Nowadays, AI has begun actions to resemble a person in a real sense, and the idea of human-liked robotics put forward by scientists has started to be realized and will probably complete its development as living machines in the near future. AI has many subsystems and application in various industries, some of which have automation more accurately and are more integrated in modern industries. This book also targets a mixed audience of specialists, analysts, engineers, scholars, researchers, academics, professionals, and students from different communities to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices to resolve the challenging issues associated with the leveraging of AI and Industrial Internet of Things (IIoT) in green transportation ecosystem.



Advances In Data Driven Computing And Intelligent Systems


Advances In Data Driven Computing And Intelligent Systems
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Author : Swagatam Das
language : en
Publisher: Springer Nature
Release Date : 2024-02-25

Advances In Data Driven Computing And Intelligent Systems written by Swagatam Das and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-25 with Technology & Engineering categories.


This book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K K Birla Goa Campus, Goa, India, during September 21–23, 2023. It includes state-of-the-art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.



Human Centric Integration Of 6g Enabled Technologies For Modern Society


Human Centric Integration Of 6g Enabled Technologies For Modern Society
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Author : Amit Kumar Tyagi
language : en
Publisher: Elsevier
Release Date : 2025-04-29

Human Centric Integration Of 6g Enabled Technologies For Modern Society written by Amit Kumar Tyagi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Science categories.


Human-Centric Integration of 6G-Enabled Technologies for Modern Society: Fundamentals, Applications, Analysis and Challenges serves as a comprehensive reference, addressing the information needs of professionals by providing deep information about the fundamentals and applications of 6G, enabling them to make informed decisions in the dynamic landscape of advanced communication technologies. In the 23 chapters, this book introduces the reader to the 6G technology, the evolution of wireless communication, and the integration of artificial intelligence; provides the use cases and applications of 6G technology and the insights into the challenges, future trends, and emerging technologies; and includes the applications of 6G technology in remote healthcare services, patient monitoring, and medical diagnostics.Human-Centric Integration of 6G-Enabled Technologies for Modern Society: Fundamentals, Applications, Analysis and Challenges redefines the way we connect, communicate, and collaborate with emerging technologies in this smart era of 6G technology. The title benefits from a collective wealth of knowledge and perspectives. This diversity enriches the content, providing readers with insights from various angles, setting it apart from publications authored or edited by a limited number of individuals. - It discusses both the like fundamental concepts, diverse applications and analytical methodologies, as the challenges that come with the development and deployment of 6G-enabled technologies - It is designed to address the latest developments in 6G technology, offering a forward-looking perspective on emerging trends - It ensures that readers receive up-to-date information and insights into the rapidly evolving landscape of next-generation wireless communication



Eckm 2023 24th European Conference On Knowledge Management Vol 2


Eckm 2023 24th European Conference On Knowledge Management Vol 2
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Author : Alvaro Rosa
language : en
Publisher: Academic Conferences and publishing limited
Release Date : 2023-09-07

Eckm 2023 24th European Conference On Knowledge Management Vol 2 written by Alvaro Rosa and has been published by Academic Conferences and publishing limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-07 with Business & Economics categories.


These proceedings represent the work of contributors to the 24th European Conference on Knowledge Management (ECKM 2023), hosted by Iscte – Instituto Universitário de Lisboa, Portugal on 7-8 September 2023. The Conference Chair is Prof Florinda Matos, and the Programme Chair is Prof Álvaro Rosa, both from Iscte Business School, Iscte – Instituto Universitário de Lisboa, Portugal. ECKM is now a well-established event on the academic research calendar and now in its 24th year the key aim remains the opportunity for participants to share ideas and meet the people who hold them. The scope of papers will ensure an interesting two days. The subjects covered illustrate the wide range of topics that fall into this important and ever-growing area of research. The opening keynote presentation is given by Professor Leif Edvinsson, on the topic of Intellectual Capital as a Missed Value. The second day of the conference will open with an address by Professor Noboru Konno from Tama Graduate School and Keio University, Japan who will talk about Society 5.0, Knowledge and Conceptual Capability, and Professor Jay Liebowitz, who will talk about Digital Transformation for the University of the Future. With an initial submission of 350 abstracts, after the double blind, peer review process there are 184 Academic research papers, 11 PhD research papers, 1 Masters Research paper, 4 Non-Academic papers and 11 work-in-progress papers published in these Conference Proceedings. These papers represent research from Australia, Austria, Brazil, Bulgaria, Canada, Chile, China, Colombia, Cyprus, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, India, Iran, Iraq, Ireland, Israel, Italy, Japan, Jordan, Kazakhstan, Kuwait, Latvia, Lithuania, Malaysia, México, Morocco, Netherlands, Norway, Palestine, Peru, Philippines, Poland, Portugal, Romania, South Africa, Spain, Sweden, Switzerland, Taiwan, Thailand, Tunisia, UK, United Arab Emirates and the USA.