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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.

Transportation --- Mathematical models.

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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.

Machine learning. --- Transportation --- Learning, Machine --- Artificial intelligence --- Machine theory --- Data processing.

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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.

Electrification. --- Smart cities. --- Cities and towns --- Electric power distribution --- Electric power production

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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. 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.

blockchain --- double auction --- electricity trading --- smart match mechanism --- multi-exposure image fusion --- intelligent transportation system --- adaptive optimization --- video super-resolution --- generative adversarial networks --- edge enhancement --- energy usage behaviour --- occupancy monitoring --- energy conservation --- out-of-hours consumption --- energy consumption monitoring --- electric vehicles --- detour --- route computation --- smart cities --- n/a

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Selected papers from the International Conference on Transportation and Development 2018, held in Pittsburgh, Pennsylvania, July 15–18, 2018. Sponsored by the Transportation & Development Institute of ASCE. This collection contains 38 peer-reviewed papers on autonomous vehicles and transportation safety. Topics include: electronic vehicle sharing; modeling of autonomous and connected vehicle traffic patterns; crash modification techniques; warning signs and barriers; and modeling and analysis of vehicle crashes. These papers will be of interest to transportation planners, engineers, designers, researchers, project managers, and others involved in transportation infrastructure and management.

Autonomous vehicles --- Intelligent transportation systems --- Unmanned vehicles --- Transportation safety --- Traffic models --- Traffic accidents --- Automobiles --- Sustainable development --- Traffic analysis --- Crash tests --- Safety measures --- Automated vehicles