Mobility Compass

Discover mobility and transportation research. Find experts, partners, networks.

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The Mobility Compass is an open tool for improving networking and interdisciplinary exchange within mobility and transport research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

To Graph

7.909 Topics available

To Map

770 Locations available

380.250 PEOPLE
380.250 People People

380.250 People

Show results for 380.250 people that are selected by your search filters.

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PeopleLocationsStatistics
Tekkaya, A. Erman
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Förster, Peter
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Mudimu, George T.
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Shibata, Lillian Marie
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Talabbeydokhti, Nasser
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Laffite, Ernesto Dante Rodriguez
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Schöpke, Benito
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Gobis, Anna
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Alfares, Hesham K.
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Münzel, Thomas
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Joy, Gemini Velleringatt
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Oubahman, Laila
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Filali, Youssef
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Philippi, Paula
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George, Alinda
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Lucia, Caterina De
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Avril, Ludovic
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Belachew, Zigyalew Gashaw
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Kassens-Noor, EvaDarmstadt
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Cho, Seongchul
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Tonne, Cathryn
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Hosseinlou, Farhad
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Ganvit, Harsh
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Schmitt, Konrad Erich Kork
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Grimm, Daniel
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Sresakoolchai, Jessada

  • Google
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (16/16 displayed)

  • 2023Automated machine learning recognition to diagnose flood resilience of railway switches and crossings10citations
  • 2023Railway infrastructure maintenance efficiency improvement using deep reinforcement learning integrated with digital twin based on track geometry and component defects25citations
  • 2023Ballastless track support deterioration evaluation using machine learning1citations
  • 2023Interactive reinforcement learning innovation to reduce carbon emissions in railway infrastructure maintenance7citations
  • 2022Machine learning based design of railway prestressed concrete sleepers9citations
  • 2022Railway defect detection based on track geometry using supervised and unsupervised machine learning29citations
  • 2022Track geometry prediction using three-dimensional recurrent neural network-based models cross-functionally co-simulated with BIM18citations
  • 2022Machine learning to identify dynamic properties of railway track components9citations
  • 2022Prediction of turnout support deterioration through dynamic traintrack interactions integrated with artificial intelligencecitations
  • 2021Wheelflat detection and severity classification using deep learning techniques15citations
  • 2021Machine learning aided rail corrugation monitoring for railway track maintenancecitations
  • 2021Integration of Building Information Modeling and Machine Learning for Railway Defect Localization18citations
  • 2021Identification of weather influences on flight punctuality using machine learning approach9citations
  • 2021Integration of building information modeling (BIM) and artificial intelligence (AI) to detect combined defects of infrastructure in the railway system12citations
  • 2020Sustainability-based lifecycle management for bridge infrastructure using 6D BIM84citations
  • 2020Global Warming Potentials Due to Railway Tunnel Construction and Maintenance28citations

Places of action

Chart of shared publication
Hamarat, Mehmet
2 / 8 shared
Li, Ting
1 / 4 shared
Ngamkhanong, Chayut
1 / 33 shared
Zhu, Yingyu
1 / 1 shared
Huang, Junhui
1 / 1 shared
Remennikov, Alex
1 / 16 shared
Stittle, Henry
1 / 1 shared
Zhu, Gaoman
1 / 1 shared
Xiang, Yue
1 / 1 shared
Zhou, Zhihao
1 / 1 shared
Yu, Shuonan
1 / 1 shared
Chart of publication period
2023
2022
2021
2020

Co-Authors (by relevance)

  • Hamarat, Mehmet
  • Li, Ting
  • Ngamkhanong, Chayut
  • Zhu, Yingyu
  • Huang, Junhui
  • Remennikov, Alex
  • Stittle, Henry
  • Zhu, Gaoman
  • Xiang, Yue
  • Zhou, Zhihao
  • Yu, Shuonan
OrganizationsLocationPeople