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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  • 2023
Vigliani, AlessandroTurin
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  • 2023
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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Martin, Henry

  • Google
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Institute of Advanced Research in Artificial Intelligence

in Cooperation with on an Cooperation-Score of 37%

Topics

  • mobility pattern
  • vehicle
  • travel mode
  • simulation
  • indicating instrument
  • human being
  • data file
  • constraint
  • bottleneck
  • law
  • exploration
  • travel pattern
  • electric vehicle
  • case study
  • data
  • researcher
  • micro mobility
  • survey
  • traffic mode
  • traveller
  • estimating
  • competition
  • environmental impact
  • traffic behavior
  • travel
  • traffic planning
  • choice model
  • reservation
  • e-bike
  • mode choice
  • e-scooter
  • mobility service
  • mobility behavior
  • planning
  • modeling
  • attention
  • topology
  • evolution
  • travel distance
  • trip length
  • multiple regression analysis
  • mobility network
  • assessment
  • sustainable transportation
  • forecasting
  • physics
  • optimisation
  • laboratory
  • machinery
  • learning
  • machine learning
  • neural network
  • coding system
  • experiment
  • pH value
  • transformer
  • historic site
  • industry
  • traffic congestion
  • contaminant
  • urban mobility
  • decision making
  • gas
  • intelligence
  • artificial intelligence
  • engineering
  • image processing
  • supporting
  • information system
  • data analysis
  • greenhouse gas
  • scientist
  • public transport
  • automobile
  • modulus
  • mobility data
  • medical treatment
  • shipment
  • mobility-as-a-service
  • graph
  • global positioning system
  • personnel
  • control group
  • mathematical analysis
  • transport demand
  • travel demand management
  • benchmark
  • railway train
  • street
  • road network
  • contrast
  • supervisor
  • traffic data
  • traffic forecasting
  • incentive
  • geography
  • city traffic
  • behavior
  • design
  • multimodal transportation
  • tree
  • decision tree
  • profit
  • mining
  • data mining
  • city
  • weight
  • recommendation
  • timetable
  • travel survey
  • trip purpose
  • show 81 more
  • show less

Publications

  • 2023Conserved quantities in human mobility: From locations to tripscitations
  • 2022Using rooftop photovoltaic generation to cover individual electric vehicle demand—A detailed case study16citations
  • 2022Mode choice, substitution patterns and environmental impacts of shared and personal micro-mobilitycitations
  • 2022Unlocking social network analysis methods for studying human mobility1citations
  • 2022Conserved quantities in human mobility: From locations to tripscitations
  • 2022How do you go where? Improving next location prediction by learning travel mode information using transformerscitations
  • 2021Geosmartness for Personalized and Sustainable Future Urban Mobility2citations
  • 2021Mode choice, substitution patterns and environmental impacts of shared and personal micro-mobilitycitations
  • 2021ETH Mobility Initiative Project MI-01-19 Empirical use and Impact analysis of MaaS: Ergebnissecitations
  • 2021A Clustering-Based Framework for Individual Travel Behaviour Change Detectioncitations
  • 2020Graph-ResNets for short-term traffic forecasts in almost unknown citiescitations
  • 2019A Clustering-Based Framework for Understanding Individuals’ Travel Mode Choice Behavior3citations
  • 2018Identifying and Interpreting Clusters of Persons with Similar Mobility Behaviour Change Processes3citations
  • 2018Graph Convolutional Neural Networks for Human Activity Purpose Imputationcitations

Places of action

Chart of shared publication
Xin, Yanan
3 / 3 shared
Reck, Daniel Jan
5 / 15 shared
Raubal, Martin
12 / 23 shared
Hong, Ye
5 / 5 shared
Bucher, Dominik
8 / 18 shared
Axhausen, Kay Werner
5 / 557 shared
Buffat, R.
1 / 1 shared
Bucher, D.
1 / 1 shared
Hamper, J.
1 / 1 shared
Wiedemann, Nina
1 / 1 shared
Rupprecht, Christian
1 / 1 shared
Buffat, René
1 / 1 shared
Zhao, Pengxiang
2 / 2 shared
Jonietz, David
1 / 3 shared
Perez-cruz, Fernando
1 / 1 shared
Suel, Esra
1 / 5 shared
Chart of publication period
2023
2022
2021
2020
2019
2018

Co-Authors (by relevance)

  • Xin, Yanan
  • Reck, Daniel Jan
  • Raubal, Martin
  • Hong, Ye
  • Bucher, Dominik
  • Axhausen, Kay Werner
  • Buffat, R.
  • Bucher, D.
  • Hamper, J.
  • Wiedemann, Nina
  • Rupprecht, Christian
  • Buffat, René
  • Zhao, Pengxiang
  • Jonietz, David
  • Perez-cruz, Fernando
  • Suel, Esra