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.

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8.032 Topics available

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944 Locations available

509.604 PEOPLE
509.604 People People
509.604 People

Show results for 509.604 people that are selected by your search filters.

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PeopleLocationsStatistics
Mouftah, Hussein T.
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Dugay, Fabrice
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Rettenmeier, Max
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Palacios-Navarro, Guillermo
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Uspenskyi, Borys V.
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Khan, Baseem
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Kraushaar, SabineVienna
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Das, Raj
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Werbińska-Wojciechowska, Sylwia
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Brillinger, Markus
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Loft, Shayne
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Matijošius, JonasVilnius
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Piontek, Dennis
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Kene, Raymond O.
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Barbosa, Juliana
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Rodriguez-Vega, Martin

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (19/19 displayed)

  • 2023Optimal location of EVs public charging stations based on a macroscopic urban electromobility modelcitations
  • 2023Optimal location of EVs public charging stations based on a macroscopic urban electromobility modelcitations
  • 2023A New Model for Electric Vehicle Mobility and Energy Consumption in Urban Traffic Networkscitations
  • 2023A Graph-Based Mobility Model for Electric Vehicles in Urban Traffic Networks: Application to the Grenoble Metropolitan Area4citations
  • 2023A Graph-Based Mobility Model for Electric Vehicles in Urban Traffic Networks: Application to the Grenoble Metropolitan Area4citations
  • 2022A Route-based Method for Turning Ratio Estimation: Application to the Grenoble Downtown Traffic Flow and Density Reconstructioncitations
  • 2022A Route-based Method for Turning Ratio Estimation: Application to the Grenoble Downtown Traffic Flow and Density Reconstructioncitations
  • 2022Dynamic density and flow reconstruction in large-scale urban networks using heterogeneous data sources6citations
  • 2022Dynamic density and flow reconstruction in large-scale urban networks using heterogeneous data sources6citations
  • 2022A new model for electric vehicle mobility and energy consumption in urban traffic networkscitations
  • 2022A new model for electric vehicle mobility and energy consumption in urban traffic networkscitations
  • 2021Average density estimation for urban traffic networks: application to the Grenoble network1citations
  • 2021Urban network traffic state estimation using a data-based approach5citations
  • 2021Urban network traffic state estimation using a data-based approach5citations
  • 2021Optimal Sensor Placement And Density Estimation In Large-Scale Traffic Networks ; Placement optimal des capteurs et estimation de la densité dans les réseaux de trafic à grande échellecitations
  • 2021Flow and density estimation in Grenoble using real datacitations
  • 2020Average density detectability in traffic networks using virtual road divisionscitations
  • 2019Location of turning ratio and flow sensors for flow reconstruction in large traffic networks24citations
  • 2018Joint Flow and Density Reconstruction in Large Traffic Networks UsingPartial Turning Ratio Informationcitations

Places of action

Chart of shared publication
Canudas-De-Wit, Carlos
11 / 34 shared
Mourgues, Rémi
2 / 2 shared
Wit, Carlos Canudas De
7 / 18 shared
De Nunzio, Giovanni
3 / 26 shared
Othman, Bassel
4 / 14 shared
Nunzio, Giovanni De
2 / 6 shared
Fourati, Hassen
11 / 17 shared
Chart of publication period
2023
2022
2021
2020
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2018

Co-Authors (by relevance)

  • Canudas-De-Wit, Carlos
  • Mourgues, Rémi
  • Wit, Carlos Canudas De
  • De Nunzio, Giovanni
  • Othman, Bassel
  • Nunzio, Giovanni De
  • Fourati, Hassen
OrganizationsLocationPeople