467.600 PEOPLE
| People | Locations | Statistics |
|---|---|---|
| Serhiienko, Serhii |
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| Schmalz, Ulrike |
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| Oliveira, Marisa |
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| Ribeiro Pereira, Maria Teresa |
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| Bellér, Gábor |
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| Araujo, M. |
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| Frey, Michael | Karlsruhe |
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| Coutinho-Rodrigues, João | Coimbra |
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| Wouters, Christian Guillaume Louise | Aachen |
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| Kessel, Paul J. Van Van |
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| Árpád, István |
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| Fontul, Simona |
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| Kocsis, Dénes |
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| Cigada, Alfredo | Milan |
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| Oort, Neils Van | Delft |
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| Agárdi, Anita | Miskolc |
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| Andrews, Gordon E. |
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| Sousa, Nuno |
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| Witlox, Frank Jacomina Albert | Ghent |
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| Dobruszkes, Frederic |
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| Kiss, Judit T. |
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| Hadachi, Amnir | Saint-Étienne-du-Rouvray |
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| Hamilton, Carl J. | Kunovice |
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| Misiura, Serhii |
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| Schimpf, Marina |
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Okhrin, Ostap
in Cooperation with on an Cooperation-Score of 37%
Topics
- data
- ship
- driving
- automobile
- behavior
- velocity
- trajectory
- learning
- river
- inland waterway
- stochastic process
- ship motion
- braking
- driving behavior
- emergency
- estimate
- visualisation
- acceleration
- microsimulation
- calibration
- car following
- vehicle mix
- equation
- goodness of fit
- numerical integration
- optimisation
- heuristic method
- validation
- forecasting
- landing
- machinery
- machine learning
- simulation
- mobility behavior
- young adult
- public transport
- city
- highway traffic
- choice of transport
- engineering
- incident management
- gridlock
- driver
- cyclist
- show 14 more
Publications
- 2022Vessel-following model for inland waterways based on deep reinforcement learning
- 2021Calibrating Wiedemann-99 Model Parameters to Trajectory Data of Mixed Vehicular Trafficcitations
- 2021Optimization of Wiedemann-99 Model Parameters for Mixed Traffic Using Vehicular Trajectory Data
- 2021Formulation and validation of a car-following model based on deep reinforcement learning
- 2020Using Open Source Data for Landing Time Prediction with Machine Learning Methodscitations
- 2017Fahrdynamikbasierte Entscheidungsmodelle zur mikroskopischen Simulation des Verkehrsflusses auf Binnenwasserstraßen
- 2015Klassifizierung junger Erwachsener anhand ihres Mobilitätsverhaltens – Eine empirische Analyse der großen SrV-Vergleichsstädte
- 2015Eine empirische Analyse des individuellen Verkehrsmittelwahlverhaltens am Beispiel der Stadt Dresden
- 2015Zuflussregulierung als Konzept eines selbstorganisierten Störfallmanagements zur Vermeidung von Gridlocks
- 2015Mobilitätsverhalten potentieller Radfahrer in Dresden Eine empirische Analyse
Places of action
