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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Mattas, K.

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

Topics

Publications (24/24 displayed)

  • 2023Drivers’ Behavior at Unsignalized Intersections. An Empirical Analysis and Derivation of Requirements for the European Regulation 1426/2022 concerning the type-approval of automated driving systemscitations
  • 2023On the Relationship between Traffic Hysteresis and String Stability of Vehicle Platoons4citations
  • 2022Characterizing Driver Heterogeneity within Stochastic Traffic Simulationcitations
  • 2022Driver models for the definition of safety requirements of automated vehicles in international regulations. Application to motorway driving conditions22citations
  • 2022Physics-augmented models to simulate commercial adaptive cruise control (ACC) systems28citations
  • 2022Multianticipation for string stable Adaptive Cruise Control and increased motorway capacity without vehicle-to-vehicle communication26citations
  • 2021Physics-augmented models to simulate commercial adaptive cruise control (ACC) systemscitations
  • 2021Requiem on the positive effects of commercial adaptive cruise control on motorway traffic and recommendations for future automated driving systems86citations
  • 2021Traffic impacts of commercial adaptive cruise control time-gap policycitations
  • 2021Characterizing driver heterogeneity within stochastic traffic simulationcitations
  • 2020Fuzzy Surrogate Safety Metrics for real-time assessment of rear-end collision risk. A study based on empirical observations45citations
  • 2020Formalizing the heterogeneity of the vehicle-driver system to reproduce traffic oscillations42citations
  • 2020Empirical Study on the Properties of Adaptive Cruise Control Systems and Their Impact on Traffic Flow and String Stability93citations
  • 2020Introducing electrified vehicle dynamics in traffic simulation17citations
  • 2020The impact of automation and connectivity on traffic flow and CO<inf>2</inf> emissions. A detailed microsimulation study51citations
  • 2020Correction to: The impact of driving homogeneity due to automation and cooperation of vehicles on uphill freeway sections (European Transport Research Review, (2020), 12, 1, (15), 10.1186/s12544-020-00407-9)citations
  • 2020openACC. An open database of car-following experiments to study the properties of commercial ACC systemscitations
  • 2019The impact of automation and connectivity on traffic flow and CO2 emissions. A detailed microsimulation study.citations
  • 2019Estimating empirically the response time of commercially available ACC controllers under urban and freeway conditions12citations
  • 2019MFC Free-Flow Model: Introducing Vehicle Dynamics in Microsimulation52citations
  • 2019Fuzzy surrogate safety metrics5citations
  • 2018Assessing the Impact of Connected and Automated Vehicles. A Freeway Scenario36citations
  • 2018Simulating deployment of connectivity and automation on the Antwerp ring road63citations
  • 2018Estimating reaction time in Adaptive Cruise Control System41citations

Places of action

Chart of shared publication
Galassi, M. C.
2 / 3 shared
Albano, G.
6 / 6 shared
Suarez-Bertoa, R.
2 / 4 shared
Donà, R.
4 / 4 shared
Vass, S.
3 / 3 shared
Ciuffo, Biagio
19 / 131 shared
He, Y.
6 / 11 shared
Makridis, M. A.
2 / 2 shared
Fontaras, G.
7 / 37 shared
Anesiadou, A.
4 / 5 shared
Montanino, M.
2 / 18 shared
Punzo, V.
2 / 24 shared
Szalay, Z.
1 / 2 shared
Komnos, D.
1 / 6 shared
Makridis, M.
10 / 15 shared
Josvai, S.
1 / 1 shared
Pataki, M.
1 / 1 shared
Botzoris, G.
2 / 9 shared
Kriston, A.
2 / 5 shared
Minarini, F.
2 / 2 shared
Papadopoulos, B.
2 / 2 shared
Re, F.
2 / 2 shared
Rognelund, G.
2 / 2 shared
Leclercq, L.
2 / 9 shared
Ciuffo, B.
5 / 8 shared
Makridis, Michail A.
5 / 54 shared
Xu, H.
1 / 2 shared
Mogno, C.
1 / 3 shared
Borio, D.
2 / 3 shared
Thiel, C.
2 / 4 shared
Raposo, M. A.
2 / 5 shared
Hallac, P.
1 / 1 shared
Toledo, T.
1 / 26 shared
Giuliani, R.
1 / 1 shared
Chart of publication period
2023
2022
2021
2020
2019
2018

Co-Authors (by relevance)

  • Galassi, M. C.
  • Albano, G.
  • Suarez-Bertoa, R.
  • Donà, R.
  • Vass, S.
  • Ciuffo, Biagio
  • He, Y.
  • Makridis, M. A.
  • Fontaras, G.
  • Anesiadou, A.
  • Montanino, M.
  • Punzo, V.
  • Szalay, Z.
  • Komnos, D.
  • Makridis, M.
  • Josvai, S.
  • Pataki, M.
  • Botzoris, G.
  • Kriston, A.
  • Minarini, F.
  • Papadopoulos, B.
  • Re, F.
  • Rognelund, G.
  • Leclercq, L.
  • Ciuffo, B.
  • Makridis, Michail A.
  • Xu, H.
  • Mogno, C.
  • Borio, D.
  • Thiel, C.
  • Raposo, M. A.
  • Hallac, P.
  • Toledo, T.
  • Giuliani, R.
OrganizationsLocationPeople