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201028t20212021ne a ob 001 0 eng d |
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|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
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|a 9780128191392
|q electronic book
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|a 0128191392
|q electronic book
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|z 9780128191385
|q paperback
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|z 0128191384
|q paperback
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|a (OCoLC)1202058889
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|a HE336.T7
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0 |
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|a 388.31015118
|2 23
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100 |
1 |
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|a Rehborn, Hubert,
|d 1966-
|e author.
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245 |
1 |
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|a Data-driven traffic engineering :
|b understanding of traffic and applications based on three-phase traffic theory /
|c Hubert Rehborn, Micha Koller, Stefan Kaufmann.
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264 |
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1 |
|a Amsterdam, Netherlands :
|b Elsevier,
|c [2021]
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264 |
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4 |
|c �2021
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300 |
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|a 1 online resource (xi, 179 pages) :
|b illustrations
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336 |
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|a text
|b txt
|2 rdacontent
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336 |
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|a still image
|b sti
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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338 |
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|a online resource
|b cr
|2 rdacarrier
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504 |
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|a Includes bibliographical references and index.
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505 |
0 |
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|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.
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520 |
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|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.
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588 |
0 |
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|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
|