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

8.284 Topics available

To Map

890 Locations available

479.575 PEOPLE
479.575 People People

479.575 People

Show results for 479.575 people that are selected by your search filters.

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PeopleLocationsStatistics
Ziakopoulos, ApostolosAthens
  • 17
  • 87
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  • 2023
Vigliani, AlessandroTurin
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  • 2023
Catani, JacopoRome
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Statheros, ThomasStevenage
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  • 2023
Utriainen, RoniTampere
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Guglieri, GiorgioTurin
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  • 2023
Martínez Sánchez, Joaquín
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Tobolar, Jakub
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Volodarets, M.
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Piwowar, Piotr
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Tennoy, AudOslo
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Matos, Ana Rita
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Cicevic, Svetlana
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Sommer, CarstenKassel
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Liu, Meiqi
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Pirdavani, AliHasselt
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Niklaß, Malte
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Lima, PedroBraga
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Turunen, Anu W.
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Antunes, Carlos Henggeler
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Krasnov, Oleg A.
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Lopes, Joao P.
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Turan, Osman
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Lučanin, VojkanBelgrade
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Tanaskovic, Jovan
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Li, G.

  • Google
  • 14
  • 60
  • 804

in Cooperation with on an Cooperation-Score of 37%

Topics

  • public transport
  • weight
  • railway network
  • data
  • theory
  • highway traffic
  • attention
  • learning
  • neural network
  • design
  • experiment
  • forecasting model
  • traffic control
  • freeway
  • graph
  • deep learning
  • traffic forecasting
  • traffic flow theory
  • highway operation
  • backpropagation
  • ship
  • forecasting
  • crane
  • heaving
  • benchmark
  • drone
  • base line
  • case study
  • implementation
  • high speed train
  • reconstruction
  • helicopter
  • estimating
  • driver
  • city
  • road
  • age
  • crash
  • automobile industry
  • driver support system
  • camera
  • bus
  • gender
  • questionnaire
  • blind spot
  • blind person
  • aggression
  • radar
  • pedestrian
  • stability analysis
  • locomotive
  • buffer
  • coupler
  • engine
  • motor
  • motor vehicle
  • marijuana
  • gas
  • emergency
  • fatality
  • ambulance
  • show 31 more
  • show less

Publications

  • 2021Evaluating the value of new metro lines using route diversity measures: The case of Hong Kong's Mass Transit Railway system22citations
  • 2021Multistep traffic forecasting by dynamic graph convolution: Interpretations of real-time spatial correlations18citations
  • 2020Incorporation of Ship Motion Prediction into Active Heave Compensation for Offshore Crane Operation10citations
  • 2020The Unmanned Aerial Vehicle Benchmark: Object Detection, Tracking and Baseline68citations
  • 2018Towards realistic high-speed train channels at 5G millimeter-wave band - Part II: Case study for paradigm implementation59citations
  • 2018Towards realistic high-speed train channels at 5G millimeter-wave band - Part I: Paradigm, significance analysis, and scenario reconstruction99citations
  • 2016Helicopter classification via period estimation and time-frequency masks6citations
  • 2015Field operational test of advanced driver assistance systems in typical Chinese road conditions: The influence of driver gender, age and aggression57citations
  • 2015A novel interlaced chirp sequence radar concept with range-Doppler processing for automotive applications10citations
  • 2015Pedestrian detection with an interlaced chirp sequence concept in automotive radar5citations
  • 2015Compressed stability analysis of the coupler and buffer system of heavy-haul locomotives28citations
  • 2012Marijuana use and motor vehicle crashes272citations
  • 2011Helicopter crashes related to oil and gas operations in the Gulf of Mexico29citations
  • 2003Relative risk of injury and death in ambulances and other emergency vehicles121citations

Places of action

Chart of shared publication
Xu, X.
1 / 5 shared
Chan, Ho-Yin
1 / 1 shared
Lam, W.
1 / 1 shared
Chen, A.
1 / 4 shared
Knoop, Victor L.
1 / 220 shared
Van Lint, H. W. C.
1 / 86 shared
Chu, Yingguang
1 / 2 shared
Zhang, H.
1 / 38 shared
Zhang, W.
1 / 15 shared
Yu, H.
1 / 6 shared
Sebe, Niculae
1 / 2 shared
Du, D.
1 / 1 shared
Huang, Q.
1 / 4 shared
Tian, Q.
1 / 2 shared
Peng, B.
2 / 2 shared
Zhong, Z.
2 / 7 shared
Guan, K.
2 / 3 shared
Ai, B.
2 / 7 shared
He, D.
2 / 4 shared
Yang, J.
2 / 22 shared
Kuerner, Thomas
2 / 30 shared
Varshney, P. K.
1 / 2 shared
Zhang, R.
1 / 10 shared
Clemente, Carmine
1 / 17 shared
Eben Li, S.
1 / 2 shared
Cheng, B.
1 / 2 shared
Meinecke, M. -m.
2 / 4 shared
Max, S.
2 / 2 shared
Vossiek, Martin
2 / 12 shared
Thurn, K.
2 / 2 shared
Shmakov, D.
1 / 1 shared
Heuer, M.
1 / 3 shared
Zu, H.
1 / 1 shared
KENNEDY, DAVID
1 / 5 shared
Chu, G.
1 / 1 shared
Zhang, Z.
1 / 12 shared
Lusardi, A. R.
1 / 1 shared
Tzong, K. Y.
1 / 1 shared
Brady, Joanne
2 / 3 shared
Li, M. -c.
1 / 1 shared
Dimaggio, C. J.
1 / 1 shared
Haaland, W.
1 / 1 shared
Baker, S. P.
1 / 2 shared
Shanahan, D. F.
1 / 1 shared
Becker, L. R.
1 / 1 shared
Miller, Ted
1 / 12 shared
Zaloshnja, E.
1 / 4 shared
Levick, N.
1 / 1 shared
Chart of publication period
2021
2020
2018
2016
2015
2012
2011
2003

Co-Authors (by relevance)

  • Xu, X.
  • Chan, Ho-Yin
  • Lam, W.
  • Chen, A.
  • Knoop, Victor L.
  • Van Lint, H. W. C.
  • Chu, Yingguang
  • Zhang, H.
  • Zhang, W.
  • Yu, H.
  • Sebe, Niculae
  • Du, D.
  • Huang, Q.
  • Tian, Q.
  • Peng, B.
  • Zhong, Z.
  • Guan, K.
  • Ai, B.
  • He, D.
  • Yang, J.
  • Kuerner, Thomas
  • Varshney, P. K.
  • Zhang, R.
  • Clemente, Carmine
  • Eben Li, S.
  • Cheng, B.
  • Meinecke, M. -m.
  • Max, S.
  • Vossiek, Martin
  • Thurn, K.
  • Shmakov, D.
  • Heuer, M.
  • Zu, H.
  • KENNEDY, DAVID
  • Chu, G.
  • Zhang, Z.
  • Lusardi, A. R.
  • Tzong, K. Y.
  • Brady, Joanne
  • Li, M. -c.
  • Dimaggio, C. J.
  • Haaland, W.
  • Baker, S. P.
  • Shanahan, D. F.
  • Becker, L. R.
  • Miller, Ted
  • Zaloshnja, E.
  • Levick, N.