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Data-driven traffic engineering : understanding of traffic and applications based on three-phase traffic theory /

"Data-Driven Traffic Engineering: Understanding of Traffic and Applications Based on Three-Phase Traffic Theory shifts the current focus from using modeling and simulation data for traffic measurements to the use of actual data. The book uses real-world, empirically-derived data from a large fl...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Rehborn, Hubert, 1966- (Autor), Koller, Micha (Autor), Kaufmann, Stefan (Writer on traffic flow) (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam, Netherlands : Elsevier, [2021]
Temas:
Acceso en línea:Texto completo

MARC

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040 |a YDX  |b eng  |e pn  |e rda  |c YDX  |d OPELS  |d OCLCF  |d OCLCO  |d N$T  |d INU  |d OCLCO  |d WAU  |d OCLCO  |d K6U  |d OCLCQ 
020 |a 9780128191392  |q electronic book 
020 |a 0128191392  |q electronic book 
020 |z 9780128191385  |q paperback 
020 |z 0128191384  |q paperback 
035 |a (OCoLC)1202058889 
050 4 |a HE336.T7 
082 0 4 |a 388.31015118  |2 23 
100 1 |a Rehborn, Hubert,  |d 1966-  |e author. 
245 1 0 |a Data-driven traffic engineering :  |b understanding of traffic and applications based on three-phase traffic theory /  |c Hubert Rehborn, Micha Koller, Stefan Kaufmann. 
264 1 |a Amsterdam, Netherlands :  |b Elsevier,  |c [2021] 
264 4 |c �2021 
300 |a 1 online resource (xi, 179 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
336 |a still image  |b sti  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
505 0 |a Introduction -- How traffic data are measured -- Analysis of congested traffic pattern features on freeways : a historical overview -- Congested traffic patterns in urban areas -- Applications of traffic in transportation science -- Future directions. 
520 |a "Data-Driven Traffic Engineering: Understanding of Traffic and Applications Based on Three-Phase Traffic Theory shifts the current focus from using modeling and simulation data for traffic measurements to the use of actual data. The book uses real-world, empirically-derived data from a large fleet of connected vehicles, local observations and aerial observation to shed light on key traffic phenomena. Readers will learn how to develop an understanding of the empirical features of vehicular traffic networks and how to consider these features in emerging, intelligent transport systems. Topics cover congestion patterns, fuel consumption, the influence of weather, and much more. This book offers a unique, data-driven analysis of vehicular traffic in traffic networks, also considering how to apply data-driven insights to the intelligent transport systems of the future."--  |c Publisher's website. 
588 0 |a Print version record. 
650 0 |a Traffic flow  |x Mathematical models. 
650 0 |a Traffic engineering  |x Data processing. 
650 6 |a Circulation  |0 (CaQQLa)201-0052940  |x Mod�eles math�ematiques.  |0 (CaQQLa)201-0379082 
650 7 |a Traffic engineering  |x Data processing.  |2 fast  |0 (OCoLC)fst01154097 
650 7 |a Traffic flow  |x Mathematical models.  |2 fast  |0 (OCoLC)fst01154154 
700 1 |a Koller, Micha,  |e author. 
700 1 |a Kaufmann, Stefan  |c (Writer on traffic flow),  |e author. 
776 0 8 |i Print version:  |a Rehborn, Hubert, 1966-  |t Data-driven traffic engineering.  |d Amsterdam : Elsevier, [2021]  |z 9780128191385  |w (DLC) 2020942822  |w (OCoLC)1197810639 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780128191385  |z Texto completo