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

380.256 PEOPLE
380.256 People People

380.256 People

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PeopleLocationsStatistics
Seuring, Stefan
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Nor Azizi, S.
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Spengler, Thomas Stefan
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Autor Correspondente Coelho, Sílvia.
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Nuawi, M. Z.

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

Topics

Publications (12/12 displayed)

  • 2018Deltoid anterior contraction in maneuvering the steering wheelcitations
  • 2017Reducing cyclic testing time for components of automotive suspension system utilising the wavelet transform and the Fuzzy C-Means46citations
  • 2017The need to generate realistic strain signals at an automotive coil spring for durability simulation leading to fatigue life assessment36citations
  • 2016Suitability of driving simulators as a tool to study driving fatigue due to vibration and environment: A reviewcitations
  • 2016Suitability of heart rate recording as physiological measures tool to determine drivers’ performance impairment: A preliminary study3citations
  • 2016Measurement of heart rate to determine car drivers’ performance impairment in simulated driving: An overview2citations
  • 2016Subjective and indirect methods to observe driver’s drowsiness and alertness: An overviewcitations
  • 2015Generating strain signals under consideration of road surface profiles33citations
  • 2014Application of the wavelet transforms for compressing lower suspension arm strain datacitations
  • 2014Wavelet-based feature extraction algorithm for fatigue strain data associated with the k-means clustering techniquecitations
  • 2013Fatigue features extraction of road load time data using the S-transform11citations
  • 2013Acceleration data extraction associating to the peak-valley segmentation approach using the morlet wavelet transformcitations

Places of action

Chart of shared publication
Schramm, Dieter
11 / 215 shared
Koppers, M.
2 / 8 shared
Khamis, N. K.
4 / 4 shared
Deros, B. M.
3 / 3 shared
Maas, N.
2 / 11 shared
Abdullah, S.
7 / 37 shared
Putra, T. E.
6 / 8 shared
Bruckmann, T.
5 / 20 shared
Ismail, F. R.
4 / 4 shared
Hesse, B.
3 / 9 shared
Nor Kamaliana, K.
1 / 1 shared
Nopiah, Z. M.
1 / 1 shared
Yunoh, M. F. M.
1 / 1 shared
Nizwan, C. K. E.
1 / 1 shared
Chart of publication period
2018
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Co-Authors (by relevance)

  • Schramm, Dieter
  • Koppers, M.
  • Khamis, N. K.
  • Deros, B. M.
  • Maas, N.
  • Abdullah, S.
  • Putra, T. E.
  • Bruckmann, T.
  • Ismail, F. R.
  • Hesse, B.
  • Nor Kamaliana, K.
  • Nopiah, Z. M.
  • Yunoh, M. F. M.
  • Nizwan, C. K. E.
OrganizationsLocationPeople