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

8.271 Topics available

To Map

884 Locations available

467.600 PEOPLE
467.600 People People

467.600 People

Show results for 467.600 people that are selected by your search filters.

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PeopleLocationsStatistics
Serhiienko, Serhii
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Schmalz, Ulrike
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Oliveira, Marisa
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Ribeiro Pereira, Maria Teresa
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Bellér, Gábor
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Araujo, M.
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Frey, MichaelKarlsruhe
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Coutinho-Rodrigues, JoãoCoimbra
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Wouters, Christian Guillaume LouiseAachen
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Kessel, Paul J. Van Van
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Árpád, István
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Fontul, Simona
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Kocsis, Dénes
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Cigada, AlfredoMilan
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Oort, Neils VanDelft
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Agárdi, AnitaMiskolc
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Andrews, Gordon E.
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Sousa, Nuno
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Witlox, Frank Jacomina AlbertGhent
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Dobruszkes, Frederic
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Kiss, Judit T.
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Hadachi, AmnirSaint-Étienne-du-Rouvray
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Hamilton, Carl J.Kunovice
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Misiura, Serhii
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Schimpf, Marina
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Mannini, Livia

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

Topics

  • data
  • urban travel
  • travel time
  • traffic data
  • industry
  • abstract
  • modeling
  • public transport
  • computer science
  • forecasting
  • mobility system
  • estimating
  • passenger
  • vehicle occupant
  • monitoring
  • engineering
  • risk analysis
  • multimodal transportation
  • COVID-19
  • pandemic
  • government
  • traffic modeling
  • commodity
  • sustainable transportation
  • researcher
  • planning
  • emergency
  • estimate
  • psychology
  • public relations
  • autonomous vehicle
  • pollution
  • city
  • contaminant
  • noise
  • vehicle fleet
  • travel
  • road network
  • traffic simulation
  • highway
  • urban road
  • traffic volume
  • assessment
  • design
  • congestion pricing
  • case study
  • road
  • highway traffic
  • traffic congestion
  • traveller
  • crash
  • weight
  • simulation
  • costs
  • implementation
  • definition
  • economics
  • toll
  • travel demand management
  • biology
  • externality
  • modal diversion
  • street
  • on street parking
  • automobile
  • car following
  • three lane highway
  • driver
  • vehicle
  • queuing
  • theory
  • behavior
  • automotive engineering
  • signalised intersection
  • environmental science
  • traffic planning
  • highway traffic control
  • dynamic traffic assignment
  • reconstruction
  • free flow speed
  • sensor
  • traffic flow
  • probe vehicle
  • time interval
  • data fusion
  • vehicle detector
  • speed measurement
  • off ramp
  • show 58 more
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Publications

  • 2020Bluetooth Traffic Data for Urban Travel Time Forecast9citations
  • 2020On Transport Monitoring and Forecasting During COVID-19 Pandemic in Rome4citations
  • 2020Covid-19 Transport Analytics: Analysis of Rome Mobility During Coronavirus Pandemic Era1citations
  • 2019Assessing the impact of Autonomous Vehicles on urban noise pollution11citations
  • 2019Congestion pricing policies: Design and assessment for the city of Rome, Italy33citations
  • 2019A new tool for the evaluation of CO<inf>2</inf> emissions from road traffic: A case study in Cluj-Napoca, Romania1citations
  • 2018Congestion pricing policies: Design and assessment for the city of Rome, Italy30citations
  • 2018FCD data for on-street parking search time estimation2citations
  • 2018The Car Following Model with Relative Speed in Front on the Three-Lane Road2citations
  • 2017On-Street Parking Search Time Estimation Using FCD Data20citations
  • 2014The value of information for the accessibility to concurrent transit system servicescitations
  • 2012Within-Day Dynamic Estimation of Pollutant Emissions: A Procedure for Wide Urban Network8citations
  • 2012Traffic state estimation based on data fusion techniques13citations

Places of action

Chart of shared publication
Cipriani, E.
1 / 15 shared
Carrese, S.
1 / 8 shared
Gemma, A.
1 / 7 shared
Crisalli, U.
3 / 21 shared
CARRESE, Stefano
3 / 24 shared
M., Patella S.
2 / 2 shared
Gemma, Andrea
4 / 7 shared
CIPRIANI, Ernesto
8 / 22 shared
Isaenko, Natalia
2 / 8 shared
Patella, Sergio Maria
2 / 11 shared
FUSCO, GAETANO
2 / 27 shared
Crisalli, Umberto
2 / 14 shared
Brinchi, Stefano
2 / 3 shared
PETRELLI, Marco
3 / 13 shared
COLOMBARONI, CHIARA
2 / 22 shared
Aletta, Francesco
1 / 3 shared
Petrelli, M.
2 / 8 shared
Nigro, M.
1 / 14 shared
Montemarani, B.
1 / 1 shared
Cadar, Rodica
1 / 3 shared
Boitor, R. M.
1 / 1 shared
Măran, P. D.
1 / 1 shared
Montemarani, Barbara
1 / 1 shared
NIGRO, Marialisa
3 / 26 shared
Gao, Zichu
1 / 1 shared
Zhang, Ning
1 / 13 shared
Zichu, Gao
1 / 1 shared
Vaccaro, G.
1 / 1 shared
Gori, S.
1 / 9 shared
Gori, Stefano
2 / 7 shared
Spada, Simone La
1 / 1 shared
Chart of publication period
2020
2019
2018
2017
2014
2012

Co-Authors (by relevance)

  • Cipriani, E.
  • Carrese, S.
  • Gemma, A.
  • Crisalli, U.
  • CARRESE, Stefano
  • M., Patella S.
  • Gemma, Andrea
  • CIPRIANI, Ernesto
  • Isaenko, Natalia
  • Patella, Sergio Maria
  • FUSCO, GAETANO
  • Crisalli, Umberto
  • Brinchi, Stefano
  • PETRELLI, Marco
  • COLOMBARONI, CHIARA
  • Aletta, Francesco
  • Petrelli, M.
  • Nigro, M.
  • Montemarani, B.
  • Cadar, Rodica
  • Boitor, R. M.
  • Măran, P. D.
  • Montemarani, Barbara
  • NIGRO, Marialisa
  • Gao, Zichu
  • Zhang, Ning
  • Zichu, Gao
  • Vaccaro, G.
  • Gori, S.
  • Gori, Stefano
  • Spada, Simone La