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[null,"1.","Record Nr.",null,"UNINA9910583349703321"]
[null,null,"Titolo",null,"Data-driven solutions to transportation problems / / edited by Yinhai Wang, Ziqiang Zeng"]
[null,null,"Pubbl/distr/stampa",null,"Amsterdam, Netherlands : , : Elsevier, , [2019]"]
[{"$nulls":4},"©2019"]
[null,null,"ISBN",null,"0-12-817027-1"]
[null,null,"Descrizione fisica",null,"1 online resource (302 pages) : illustrations"]
[null,null,"Disciplina",null,"388.015118"]
[null,null,"Soggetti",null,"Transportation - Mathematical models"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"1. Overview of data-driven solutions -- 2. Data-driven energy efficient driving control in connected vehicle environment -- 3. Machine learning and computer vision-enabled traffic sensing data analysis and quality enhancement -- 4. Data-driven approaches for estimating travel time reliability -- 5. Urban travel behavior study based on data fusion model -- 6. Urban travel mobility exploring with large-scale trajectory data -- 7. Public transportation big data mining and analysis -- 8. Simulation-based optimization for network modeling with heterogeneous data -- 9. Network modelling and resilience analysis of air transportation : a data-driven, open-source approach -- 10. Health assessment of electric multiple units."]
[null,null,null,"Sommario/riassunto","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."]