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
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Vigliani, AlessandroTurin
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Catani, JacopoRome
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Statheros, ThomasStevenage
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Utriainen, RoniTampere
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Guglieri, GiorgioTurin
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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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Shino, M.

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

Topics

  • driving behavior
  • driving
  • forecasting
  • learning
  • signalised intersection
  • time interval
  • stopping
  • road
  • machinery
  • comfort
  • autonomous driving
  • mobility scooter
  • planning
  • passenger
  • vehicle occupant
  • pedestrian
  • passenger comfort
  • assessment
  • pavement
  • driveability
  • electric vehicle
  • vision
  • wire
  • control system
  • wheel
  • torque
  • yaw
  • show -3 more
  • show less

Publications

  • 2021Smooth and stopping interval aware driving behavior prediction at un-signalized intersection with inverse reinforcement learning on sequential MDPs1citations
  • 2020Machine-learning approach to predict on-road driving ability in healthy older people12citations
  • 2020How User Comfort Affects Physiological Responses during Automated Driving of Mobility Scooters1citations
  • 2020Autonomous motion planning in pedestrian space considering passenger comfort4citations
  • 2018Study of road surface shape prediction for drivability evaluation of a mobility scooter in a grassy areacitations
  • 2009Vision-based lane keeping assistance control by using drive-by-wire electric vehiclecitations
  • 2007Vehicle motion control issues using micro electric vehicle "NOVEL"citations
  • 2006Lane keeping control system with independent wheel torque control of micro electric vehiclecitations
  • 2006Lane keeping control strategy with direct yaw moment control input by considering dynamics of electric vehicle46citations
  • 2004Side slip control of small-scale electric vehicle by DYCcitations
  • 2004Motion control of micro-scale electric vehicle by DYC considering lane marker informationcitations

Places of action

Chart of shared publication
Yang, S.
1 / 8 shared
Shimosaka, M.
1 / 1 shared
Yoshitake, Hiroshi
5 / 8 shared
Negishi, K.
1 / 1 shared
Yamamoto, Y.
1 / 7 shared
Hirano, J.
1 / 1 shared
Mimura, M.
1 / 1 shared
Yamagata, B.
1 / 1 shared
Gwak, J.
1 / 1 shared
Nishi, K.
1 / 1 shared
Kamimura, H.
1 / 1 shared
Ishikawa, T.
1 / 1 shared
Raksincharoensak, Pongsathorn
6 / 54 shared
Nagai, M.
6 / 30 shared
Kamata, M.
1 / 2 shared
Chart of publication period
2021
2020
2018
2009
2007
2006
2004

Co-Authors (by relevance)

  • Yang, S.
  • Shimosaka, M.
  • Yoshitake, Hiroshi
  • Negishi, K.
  • Yamamoto, Y.
  • Hirano, J.
  • Mimura, M.
  • Yamagata, B.
  • Gwak, J.
  • Nishi, K.
  • Kamimura, H.
  • Ishikawa, T.
  • Raksincharoensak, Pongsathorn
  • Nagai, M.
  • Kamata, M.