Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Daniel Zehe"'
Publikováno v:
IEEE Access, Vol 9, Pp 90656-90668 (2021)
Mass Rapid Transit (MRT) systems, i.e. subway systems, all over the world, are experiencing an increase in ridership. This also means that in case of an unplanned MRT service disruption, the number of affected passengers is larger, requiring a fast a
Externí odkaz:
https://doaj.org/article/001fc7acdc0548758d9e33342d915aef
Publikováno v:
IEEE Access, Vol 9, Pp 90656-90668 (2021)
Mass Rapid Transit (MRT) systems, i.e. subway systems, all over the world, are experiencing an increase in ridership. This also means that in case of an unplanned MRT service disruption, the number of affected passengers is larger, requiring a fast a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e90d378c75fbb81b4beaa9209f9a93c
https://ieeexplore.ieee.org/document/9462154/
https://ieeexplore.ieee.org/document/9462154/
Publikováno v:
ATZelektronik. 12:68-73
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5081d34b72251c15b2c2c98ff2d32526
https://doi.org/10.1007/s35658-017-0019-0
https://doi.org/10.1007/s35658-017-0019-0
Publikováno v:
2019 IEEE Vehicle Power and Propulsion Conference (VPPC).
The pace of electric bus deployment is increasing rapidly worldwide. Transportation agencies and bus operators are faced with the challenges of re-evaluating the dimensioning of their bus fleet and the associated charging infrastructure with the intr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8140c5ff03bd2f4ed949972073a84cf
https://doi.org/10.1109/vppc46532.2019.8952361
https://doi.org/10.1109/vppc46532.2019.8952361
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030227333
ICCS (1)
ICCS (1)
The introduction of Autonomous Vehicles (AVs) will have far-reaching effects on road traffic in cities and on highways. The implementation of Automated Highway Systems (AHS), possibly with a dedicated lane only for AVs, is believed to be a requiremen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9992c799e3ae5a71c4637c78dc2d192
https://doi.org/10.1007/978-3-030-22734-0_38
https://doi.org/10.1007/978-3-030-22734-0_38
Publikováno v:
ITSC
Recent advances in Intelligent Transportation Systems, navigation tools and personal smart devices enable the development of effective mechanisms for improvement of traffic conditions. We present an information dissemination technique, which provides
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05241f26efb5102788d8abda9cbc0033
https://doi.org/10.1109/itsc.2018.8569694
https://doi.org/10.1109/itsc.2018.8569694
Autor:
Philipp Andelfinger, Yihao Chen, Boyi Su, Wentong Cai, Daniel Zehe, David Eckhoff, Alois Knoll
The calibration of agent-based pedestrian simulation models requires empirical data. To avoid cost-intensive real-world experiments, human-in-the-loop simulations can be applied in which simulated pedestrians interact with human-controlled agents. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d490e0fb755b0c79b2e4fe05fa6ece76
https://mediatum.ub.tum.de/1612019
https://mediatum.ub.tum.de/1612019
Publikováno v:
ACM Transactions on Modeling and Computer Simulation, 27(2):14. Association for Computing Machinery (ACM)
Large-scale agent-based traffic simulation is computationally intensive. Parallel computing can help to speed up agent-based traffic simulation. Parallelization of agent-based traffic simulations is generally achieved by decomposing the road network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd77dc767e59e8de82b84cbdae82910d
https://dare.uva.nl/personal/pure/en/publications/relaxing-synchronization-in-parallel-agentbased-road-traffic-simulation(8b8fd15c-c8d2-4819-ad49-dec2fe8d7571).html
https://dare.uva.nl/personal/pure/en/publications/relaxing-synchronization-in-parallel-agentbased-road-traffic-simulation(8b8fd15c-c8d2-4819-ad49-dec2fe8d7571).html
Fast identification of critical roads by neural networks using system optimum assignment information
Publikováno v:
ITSC
Identification of critical segments in a road network is a crucial task for transportation system planners as it allows for in depth analysis of the robustness of the city's infrastructure. The current techniques require a considerable amount of comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd5257b6249cee1abac6e4bb0cc7ee13
https://mediatum.ub.tum.de/1430185
https://mediatum.ub.tum.de/1430185