Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Lars Habel"'
Autor:
Michael Schreckenberg, Benjamin Sliwa, Christian Wietfeld, Lars Habel, Dennis Dorn, Manar Al-Askary, Marcus Haferkamp
Publikováno v:
VTC Spring
Intelligent Transportation Systems (ITSs) providing vehicle-related statistical data are one of the key components for future smart cities. In this context, knowledge about the current traffic flow is used for travel time reduction and proactive jam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81209ddcb4a4a6652e919de9d78673c6
Publikováno v:
MT-ITS
The precise and fast prediction of running times is extremely important in railway operations and management. This paper is about the analytical calculation of railway running times. It contains a new method for the computation of the acceleration pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6563251e28217f4a0aa944e0f1cfe534
https://doi.org/10.1109/mtits.2017.8005656
https://doi.org/10.1109/mtits.2017.8005656
Publikováno v:
Physical Review E
Physical Review E, American Physical Society (APS), 2017, 95 (1), ⟨10.1103/PhysRevE.95.012311⟩
Physical Review E, American Physical Society (APS), 2017, 95 (1), ⟨10.1103/PhysRevE.95.012311⟩
We study the Nagel-Schreckenberg cellular automata model for traffic flow by both simulations and analytical techniques. To better understand the nature of the jamming transition, we analyze the fraction of stopped cars P(v=0) as a function of the me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a63efc7b4dd6f9384ddc983572f6cf04
https://doi.org/10.1103/physreve.95.012311
https://doi.org/10.1103/physreve.95.012311
Universal characteristics of road networks and traffic patterns can help to forecast and control traffic congestion. The antipersistence of traffic flow time series has been found for many data sets, but its relevance for congestion has been overseen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80d53598b17a2ec774553403ac6919a1
Publikováno v:
VTC Fall
This contribution illustrates the benefit of incorporating real-time environmental data into highway traffic information systems and describes the modelling and integration of weather conditions into a complex microscopic traffic simulation. Using st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f90adca13a6efa830ae2f63e6d810f5
https://doi.org/10.1109/vtcfall.2016.7881044
https://doi.org/10.1109/vtcfall.2016.7881044
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::881ee8af5fa800574e02a9d0f406b965
https://doi.org/10.1109/vtcfall.2015.7391019
https://doi.org/10.1109/vtcfall.2015.7391019
Autor:
Lars Habel, Michael Schreckenberg
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319115191
ACRI
ACRI
For simulating multi-lane highway traffic with cellular automata (CA) traffic models, realistic lane change rules are required. In many countries, legal regulations distinguish between driving lanes and overtaking lanes. Therefore, asymmetric lane ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::018b486f7c4f571080338d5267c43225
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=84911919255
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=84911919255
Publikováno v:
VTC Spring
Extended Floating Car Data (xFCD) is the fundament for many modern traffic forecast systems. In this paper, an xFCD source model with different transmission rules for making the data efficiently available at the forecast server by means of Long Term
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69aef2ea620a4dad01895f42aebea022
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=84936864534
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=84936864534
Autor:
Daniel G. Weber, Brian Niehoefer, Timo Knaup, Lars Habel, Christian Wietfeld, Christoph Ide, Michael Schreckenberg
Publikováno v:
VTC Fall
The travel time estimation of vehicles is a major challenge in the area of dynamic traffic prognosis. Our approach is to increase the number of considered sensor objects in the road network. For this purpose Floating Car Data (FCD) including travel t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5a69dc2253230fd38450ad80ce324a4
https://doi.org/10.1109/vtcfall.2012.6399023
https://doi.org/10.1109/vtcfall.2012.6399023