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

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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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Nanni, Mirco

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

Topics

  • mobility behavior
  • data
  • automobile
  • city
  • forecasting
  • safety
  • crash
  • indicating instrument
  • learning
  • human being
  • definition
  • market
  • data file
  • mobility data
  • road network
  • automobile driver
  • pricing
  • insurance
  • high risk driver
  • operations research
  • computer science
  • urban mobility
  • estimating
  • physics
  • stakeholder
  • machinery
  • machine learning
  • neural network
  • regression analysis
  • architecture
  • hub
  • graph
  • economic factor
  • city planning
  • traffic forecasting
  • urban development
  • potential flow
  • assessment
  • industry
  • driving behavior
  • driving
  • acceleration
  • experiment
  • neighborhood
  • mining
  • data mining
  • risk assessment
  • base line
  • configuration management
  • automobile insurance
  • mobility network
  • mobility pattern
  • vehicle
  • contaminant
  • monitoring
  • health
  • fuel
  • air pollution
  • remote sensing
  • geography
  • modeling
  • theory
  • algorithm
  • street
  • simulation
  • visualisation
  • medication
  • medicine
  • economics
  • food
  • consensus
  • ecology
  • government
  • biochemistry
  • data management
  • autocorrelation
  • Probability theory
  • genetics
  • telematics
  • big data
  • mobility service
  • electric vehicle
  • cladding
  • commercial vehicle
  • intelligence
  • information system
  • carpool
  • driver
  • passenger
  • software
  • vehicle occupant
  • beltway
  • optimisation
  • positioning
  • constraint
  • bottleneck
  • image processing
  • position fixing
  • inductive interference
  • time interval
  • global positioning system
  • customer
  • database
  • artificial intelligence
  • corporation
  • countermeasure
  • privacy
  • need for mobility
  • perturbation
  • insurance industry
  • transportation engineering
  • security
  • externality
  • computer security
  • synthetic
  • data analysis
  • yielding
  • cluster analysis
  • hypothesis testing
  • pedestrian movement
  • pedestrian
  • trajectory
  • case study
  • sensor
  • traffic monitoring
  • protection
  • distributed control
  • financial analysis
  • data quality
  • abstract
  • traffic congestion
  • agent-based modeling
  • behavior
  • region
  • plant
  • commuting
  • coordination
  • law
  • commuter
  • computer network
  • factory
  • employer
  • computer online service
  • road
  • highway traffic
  • vision
  • microsimulation
  • engineering
  • electric power transmission
  • travel
  • telephone
  • cellular telephone
  • exploration
  • language
  • atlas
  • show 125 more
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Publications

  • 2022City indicators for geographical transfer learning: an application to crash prediction1citations
  • 2020Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks**To appear in the Proceedings of 2020 IEEE International Conference on Smart Computing (SMARTCOMP 2020)7citations
  • 2020Crash Prediction and Risk Assessment with Individual Mobility Networks7citations
  • 2020Quantifying the presence of air pollutants over a road network in high spatio-temporal resolutioncitations
  • 2020Ranking places in attributed temporal urban mobility networks5citations
  • 2020Car telematics big data analytics for insurance and innovative mobility services16citations
  • 2019Car telematics big data analytics for insurance and innovative mobility services12citations
  • 2017Never drive alone: Boosting carpooling with network analysis25citations
  • 2016ICON Loop Carpooling Show Casecitations
  • 2016Driving profiles computation and monitoring for car insurance CRM5citations
  • 2016Never drive alone: Boosting carpooling with network analysis24citations
  • 2015TOSCA: TwO-Steps Clustering Algorithm for personal locations detection23citations
  • 2013A study on parameter estimation for a mining flock algorithmcitations
  • 2013Privacy in Distributed Monitoringcitations
  • 2013Distributed monitoring of cluster quality for car insurance customer segmentationcitations
  • 2012An Agent-Based Model to Evaluate Carpooling at Large Manufacturing Plants22citations
  • 2012Data Science for Simulating the Era of Electric Vehicles9citations
  • 2011Unveiling the complexity of human mobility by querying and mining massive trajectory data226citations

Places of action

Chart of shared publication
Alamdari, Omid Isfahani
1 / 1 shared
Bonavita, Agnese
1 / 1 shared
Guidotti, Riccardo
6 / 20 shared
Lio, Pietro
1 / 2 shared
Lepri, Bruno
1 / 5 shared
Opolka, Felix L.
1 / 1 shared
Yeghikyan, Gevorg
2 / 2 shared
Böhm, Matteo
1 / 1 shared
Pappalardo, Luca
1 / 6 shared
Tortosa, Leandro
1 / 2 shared
Vicent, Jose F.
1 / 2 shared
Longhi, Leonardo
2 / 4 shared
RINZIVILLO, SALVATORE
3 / 12 shared
PEDRESCHI, DINO
10 / 20 shared
Giannotti, Fosca
5 / 15 shared
Kotthoff, Lars
1 / 1 shared
O'Sullivan, Barry
1 / 5 shared
Trasarti, Roberto
6 / 8 shared
Grossi, Valerio
3 / 3 shared
Monreale, Anna
3 / 10 shared
Rinzivillo, S.
1 / 3 shared
Wachowicz, Monica
1 / 4 shared
Ong, Rebecca
1 / 1 shared
Renso, Chiara
2 / 7 shared
Knapen, Luk
1 / 76 shared
Cho, Sungjin
1 / 20 shared
Wets, Geerts
1 / 611 shared
May, Michael
1 / 6 shared
Stange, Hendrik
1 / 3 shared
BELLEMANS, Tom
1 / 231 shared
Körner, Christine
1 / 2 shared
Bothe, Sebastian
1 / 1 shared
Yasar, Ansar-Ul-Haque
1 / 141 shared
Janssens, Davy
2 / 344 shared
Gianotti, Fosca
1 / 1 shared
PINELLI, Fabio
1 / 6 shared
Chart of publication period
2022
2020
2019
2017
2016
2015
2013
2012
2011

Co-Authors (by relevance)

  • Alamdari, Omid Isfahani
  • Bonavita, Agnese
  • Guidotti, Riccardo
  • Lio, Pietro
  • Lepri, Bruno
  • Opolka, Felix L.
  • Yeghikyan, Gevorg
  • Böhm, Matteo
  • Pappalardo, Luca
  • Tortosa, Leandro
  • Vicent, Jose F.
  • Longhi, Leonardo
  • RINZIVILLO, SALVATORE
  • PEDRESCHI, DINO
  • Giannotti, Fosca
  • Kotthoff, Lars
  • O'Sullivan, Barry
  • Trasarti, Roberto
  • Grossi, Valerio
  • Monreale, Anna
  • Rinzivillo, S.
  • Wachowicz, Monica
  • Ong, Rebecca
  • Renso, Chiara
  • Knapen, Luk
  • Cho, Sungjin
  • Wets, Geerts
  • May, Michael
  • Stange, Hendrik
  • BELLEMANS, Tom
  • Körner, Christine
  • Bothe, Sebastian
  • Yasar, Ansar-Ul-Haque
  • Janssens, Davy
  • Gianotti, Fosca
  • PINELLI, Fabio