Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Thomas Zaksek"'
Autor:
Thomas Zaksek, Michael Schreckenberg
Publikováno v:
Traffic and Granular Flow '15 ISBN: 9783319334813
Time series can show signs of fractal and multi-fractal behaviour. An analysis from this perspective can unearth features of time series that remain hidden for analysis with standard statistics. We analyse the multi-fractal spectra of traffic time se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca3fbda88ac78b3937a083455a15b4e6
https://doi.org/10.1007/978-3-319-33482-0_55
https://doi.org/10.1007/978-3-319-33482-0_55
Publikováno v:
Traffic and Granular Flow '15 ISBN: 9783319334813
For the real-time microscopic simulation of traffic on a real-world road network, a continuous input stream of empirical data from different locations is usually needed to achieve good results. Traffic flows for example are needed to properly simulat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f9c8e28ff6eb02bbd2a1f44839217be
https://doi.org/10.1007/978-3-319-33482-0_62
https://doi.org/10.1007/978-3-319-33482-0_62
Autor:
Lars Habel, Fabian Hadiji, Kristian Kersting, Alejandro Molina, Michael Schreckenberg, Thomas Zaksek, Christoph Ide, Christian Wietfeld
Publikováno v:
VTC Fall
The prediction of both, vehicular traffic and communication connectivity are important research topics. In this paper, we propose the usage of innovative machine learning approaches for these objectives. For this purpose, Poisson Dependency Networks
Publikováno v:
Traffic and Granular Flow '13 ISBN: 9783319106281
We present an analysis on the characteristics of so-called high-flow states of traffic, i.e. traffic states where the flow rate exceeds 50 vehicles per minute and lane. We investigate the duration, frequency and other statistics of such states. Moreo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cab650522cb845009457a6ef45a05bd