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Logic-Driven Traffic Big Data Analytics

2022-02-01 Business & Economics
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Release : 2022-02-01
Genre : Business & Economics
Kind : eBook
Book Rating : 167/5 ( reviews)

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Book Synopsis Logic-Driven Traffic Big Data Analytics by : Shaopeng Zhong

Download or read book Logic-Driven Traffic Big Data Analytics written by Shaopeng Zhong. This book was released on 2022-02-01. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of Mobility Data Mining, Volume 1

2023-01-29 Business & Economics
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Release : 2023-01-29
Genre : Business & Economics
Kind : eBook
Book Rating : 291/5 ( reviews)

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Book Synopsis Handbook of Mobility Data Mining, Volume 1 by : Haoran Zhang

Download or read book Handbook of Mobility Data Mining, Volume 1 written by Haoran Zhang. This book was released on 2023-01-29. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. Further, the book introduces how to design MDM platforms that adapt to the evolving mobility environment, new types of transportation, and users based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field. This volume focuses on how to efficiently pre-process mobile big data to extract and utilize critical feature information of high-dimensional city people flow. The book first provides a conceptual theory and framework, then discusses data sources, trajectory map-matching, noise filtering, trajectory data segmentation, data quality assessment, and more, concluding with a chapter on privacy protection in mobile big data mining. Introduces the characteristics of different mobility data sources, like GPS, CDR, and sensor-based mobility data Summarizes existing visualization technologies of the current transportation system into a multi-view frame, covering the perspective of the three leading actors Provides recommendations for practical open-source tools and libraries for system visualization Stems from the editor’s strong network of global transport authorities and transport companies, providing a solid knowledge structure and data foundation as well as geographical and stakeholder coverage

Mobility Data-Driven Urban Traffic Monitoring

2021-05-18 Computers
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Release : 2021-05-18
Genre : Computers
Kind : eBook
Book Rating : 418/5 ( reviews)

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Book Synopsis Mobility Data-Driven Urban Traffic Monitoring by : Zhidan Liu

Download or read book Mobility Data-Driven Urban Traffic Monitoring written by Zhidan Liu. This book was released on 2021-05-18. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data Analytics for Connected Vehicles and Smart Cities

2017-08-31 Computers
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Release : 2017-08-31
Genre : Computers
Kind : eBook
Book Rating : 741/5 ( reviews)

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Book Synopsis Big Data Analytics for Connected Vehicles and Smart Cities by : Bob McQueen

Download or read book Big Data Analytics for Connected Vehicles and Smart Cities written by Bob McQueen. This book was released on 2017-08-31. Available in PDF, EPUB and Kindle. Book excerpt: This practical new book presents the application of “big data” analytics to connected vehicles, smart cities, and transportation systems. This book enables transportation professionals to understand how data analytics can and will expand the design and engineering of connected vehicles and smart cities. Readers find extensive case studies and examples that provide a strong framework focusing on practical application of data sciences and analytic tools for actual projects in the field. Both federal and private sector investments have a strong interest in the connected vehicle and this book discusses the impact this has on transportation. This book defines urban analytics and modeling, incentives and governance, mobility networks, energy networks, and other attributes and elements that craft a smart city. Readers learn how smart cities impact the application of advanced technologies in urban areas. This book explains how recently passed transportation legislation for the US has a specific emphasis on the use of data for performance management.

Big Data Transportation Systems

2021-07-02 Technology & Engineering
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Release : 2021-07-02
Genre : Technology & Engineering
Kind : eBook
Book Rating : 011/5 ( reviews)

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Book Synopsis Big Data Transportation Systems by : Guanghui Zhao

Download or read book Big Data Transportation Systems written by Guanghui Zhao. This book was released on 2021-07-02. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed as a popular science book on big data analytics in intelligent transportation systems. It aims to provide an introduction to big-data transportation starting from an overview on the development of big data transportation in various countries. This is followed by a discussion on the blueprint strategies of big data transportation which include innovative models, planning, transportation logistics, and application case studies. Finally, the book discusses applications of big data transportation platforms.

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