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Data-driven solutions to transportation problems
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ISBN: 9780128170274 0128170271 9780128170267 0128170263 Year: 2019 Publisher: Amsterdam, Netherlands : Elsevier,

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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.


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Machine Learning for Transportation Research and Applications
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ISBN: 9780323996808 Year: 2023 Publisher: Amsterdam, Netherlands : Elsevier Inc.,

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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 textbook is 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.


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Electrification of Smart Cities
Authors: --- ---
ISBN: 3036573046 3036573054 Year: 2023 Publisher: [Place of publication not identified] : MDPI - Multidisciplinary Digital Publishing Institute,

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Electrification plays a key role in decarbonizing energy consumption for various sectors, including transportation, heating, and cooling. There are several essential infrastructures for a smart city, including smart grids and transportation networks. These infrastructures are the complementary solutions to successfully developing novel services, with enhanced energy efficiency and energy security. This Special Issue includes high-quality papers that address issues related to cutting-edge smart city technologies in the electrification process, including but not limited to the following: Electrification of building environments and transportation systems; Role and impact of smart grids for smart cities; ICT and IoT infrastructures with big data for smart city electrification; Market, services, and business models for smart city electrification; Standards and implementation for smart city electrification; Advanced smart grid technology integration in smart cities, such as energy storage, demand-side management, and distributed energy resources.


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Electrification of Smart Cities
Authors: --- ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Electrification plays a key role in decarbonizing energy consumption for various sectors, including transportation, heating, and cooling. There are several essential infrastructures for a smart city, including smart grids and transportation networks. These infrastructures are the complementary solutions to successfully developing novel services, with enhanced energy efficiency and energy security. Five papers are published in this Special Issue that cover various key areas expanding the state-of-the-art in smart cities’ electrification, including transportation, healthcare, and advanced closed-circuit televisions for smart city surveillance.

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