Advances in Data-driven Models for Transportation

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Release : 2019
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Advances in Data-driven Models for Transportation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Data-driven Models for Transportation write by Yee Sian Ng. This book was released on 2019. Advances in Data-driven Models for Transportation available in PDF, EPUB and Kindle. With the rising popularity of ride-sharing and alternative modes of transportation, there has been a renewed interest in transit planning to improve service quality and stem declining ridership. However, it often takes months of manual planning for operators to redesign and reschedule services in response to changing needs. To this end, we provide four models of transportation planning that are based on data and driven by optimization. A key aspect is the ability to provide certificates of optimality, while being practical in generating high-quality solutions in a short amount of time. We provide approaches to combinatorial problems in transit planning that scales up to city-sized networks. In transit network design, current tractable approaches only consider edges that exist, resulting in proposals that are closely tethered to the original network. We allow new transit links to be proposed and account for commuters transferring between different services. In integrated transit scheduling, we provide a way for transit providers to synchronize the timing of services in multimodal networks while ensuring regularity in the timetables of the individual services. This is made possible by taking the characteristics of transit demand patterns into account when designing tractable formulations. We also advance the state of the art in demand models for transportation optimization. In emergency medical services, we provide data-driven formulations that outperforms their probabilistic counterparts in ensuring coverage. This is achieved by replacing independence assumptions in probabilistic models and capturing the interactions of services in overlapping regions. In transit planning, we provide a unified framework that allows us to optimize frequencies and prices jointly in transit networks for minimizing total waiting time.

Data-Driven Solutions to Transportation Problems

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Release : 2018-12-04
Genre : Transportation
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Book Rating : 271/5 ( reviews)

Data-Driven Solutions to Transportation Problems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data-Driven Solutions to Transportation Problems write by Yinhai Wang. This book was released on 2018-12-04. Data-Driven Solutions to Transportation Problems available in PDF, EPUB and Kindle. Data-Driven Solutions to Transportation Problems explores the fundamental principle of analyzing different types of transportation-related data using methodologies such as the data fusion model, the big data mining approach, computer vision-enabled traffic sensing data analysis, and machine learning. The book examines the state-of-the-art in data-enabled methodologies, technologies and applications in transportation. Readers will learn how to solve problems relating to energy efficiency under connected vehicle environments, urban travel behavior, trajectory data-based travel pattern identification, public transportation analysis, traffic signal control efficiency, optimizing traffic networks network, and much more. Synthesizes the newest developments in data-driven transportation science Includes case studies and examples in each chapter that illustrate the application of methodologies and technologies employed Useful for both theoretical and technically-oriented researchers

Advances in data-driven approaches and modeling of complex systems

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Release : 2023-06-27
Genre : Science
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Book Rating : 659/5 ( reviews)

Advances in data-driven approaches and modeling of complex systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in data-driven approaches and modeling of complex systems write by Mohd Hafiz Mohd. This book was released on 2023-06-27. Advances in data-driven approaches and modeling of complex systems available in PDF, EPUB and Kindle.

Data Science and Simulation in Transportation Research

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Release : 2013-12-31
Genre : Computers
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Book Rating : 216/5 ( reviews)

Data Science and Simulation in Transportation Research - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Science and Simulation in Transportation Research write by Janssens, Davy. This book was released on 2013-12-31. Data Science and Simulation in Transportation Research available in PDF, EPUB and Kindle. Given its effective techniques and theories from various sources and fields, data science is playing a vital role in transportation research and the consequences of the inevitable switch to electronic vehicles. This fundamental insight provides a step towards the solution of this important challenge. Data Science and Simulation in Transportation Research highlights entirely new and detailed spatial-temporal micro-simulation methodologies for human mobility and the emerging dynamics of our society. Bringing together novel ideas grounded in big data from various data mining and transportation science sources, this book is an essential tool for professionals, students, and researchers in the fields of transportation research and data mining.

Handbook of Smart Cities

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Release : 2021-07-17
Genre : Computers
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Book Rating : 979/5 ( reviews)

Handbook of Smart Cities - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Smart Cities write by Juan Carlos Augusto. This book was released on 2021-07-17. Handbook of Smart Cities available in PDF, EPUB and Kindle. This Handbook presents a comprehensive and rigorous overview of the state-of-the-art on Smart Cities. It provides the reader with an authoritative, exhaustive one-stop reference on how the field has evolved and where the current and future challenges lie. From the foundations to the many overlapping dimensions (human, energy, technology, data, institutions, ethics etc.), each chapter is written by international experts and amply illustrated with figures and tables with an emphasis on current research. The Handbook is an invaluable desk reference for researchers in a wide variety of fields, not only smart cities specialists but also by scientists and policy-makers in related disciplines that are deeply influenced by the emergence of intelligent cities. It should also serve as a key resource for graduate students and young researchers entering the area, and for instructors who teach courses on these subjects. The handbook is also of interest to industry and business innovators.