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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  • 2023
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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Doniec, Arnaud

  • Google
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IMT Lille Douai

in Cooperation with on an Cooperation-Score of 37%

Topics

  • data
  • case study
  • incentive
  • public transport
  • automobile
  • survey
  • agent-based modeling
  • chemical element
  • park and ride
  • traffic behavior
  • travel
  • mode choice
  • multi-agent transport simulation
  • travel survey
  • multinomial logit
  • free fare
  • census
  • parking
  • estimating
  • machinery
  • learning
  • machine learning
  • traffic flow
  • probe vehicle
  • floating car data
  • assessment
  • mobility behavior
  • computer science
  • road
  • highway traffic
  • specification
  • urban area
  • SUMO
  • pollution
  • behavior
  • household
  • pricing
  • residence
  • choice model
  • privacy
  • multi-agent system
  • inland water transportation
  • industry
  • climate change
  • modeling
  • theory
  • forecasting
  • infrastructure
  • optimisation
  • maintenance
  • geometry
  • architecture
  • intelligence
  • artificial intelligence
  • sensor
  • flood
  • constraint
  • bottleneck
  • inland waterway
  • resilience
  • gate
  • aircraft gate
  • robotics
  • complex system
  • actuating system
  • actuator
  • water resource
  • resource allocation
  • drought
  • water table
  • simulation
  • planning
  • implementation
  • information system
  • algorithm
  • supervision
  • geography
  • operations research
  • traffic mode
  • physics
  • logistics
  • transport demand
  • graph
  • hydrology
  • water control
  • abstract
  • civil engineering
  • train consist
  • design
  • railway traffic
  • coordination
  • scheduling
  • boat
  • dispatching
  • waterway
  • water traffic
  • government
  • global warming
  • engineering
  • hub
  • dynamic optimisation
  • pump
  • neural network
  • remote sensing
  • navigation system
  • network model
  • traffic simulation
  • intersection
  • show 78 more
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Publications

  • 2023Agent-Based Approach for (Peri-)Urban Inter-Modality Policies: Application to Real Data from the Lille Metropoliscitations
  • 2021Usage des parkings relais dans les comportements de déplacements intermodaux : Génération de demande de population d'agents à partir de données réellescitations
  • 2021Multi-models machine learning methods for traffic flow estimation from Floating Car Data18citations
  • 2021Comparative Evaluation of Road Traffic Simulators based on Modeler’s Specifications: An Application to Intermodal Mobility Behaviors6citations
  • 2021Agent-based simulation from anonymized data: An application to Lille metropolis4citations
  • 2019Traffic flow multi-model with machine learning method based on floating car data2citations
  • 2018Management tools to study and to deal with effects of climate change on inland waterwayscitations
  • 2018Simulation Architecture Based on Distributive MDP for Inland Waterway Managementcitations
  • 2018Water allocation planning in inland waterways based on constraint satisfaction problemcitations
  • 2018Adaptive water-resource allocation planning of inland waterways in the context of global change8citations
  • 2018Large Markov Decision Processes Based Management Strategy of Inland Waterways in Uncertain Context1citations
  • 2018Improvement of water resource allocation planning of inland waterways based on predictive optimization approach1citations
  • 2017Distributed MDP for water resources planning and management in inland waterways4citations
  • 2017Large Markov Decision Processes based management strategy of inland waterways in uncertain contextcitations
  • 2017Towards a distribution of large scale MDP. Case study of inland waterway networks,Vers une distribution des MDP à grande échelle: Étude de cas des voies navigablescitations
  • 2016Planning large systems with MDPs: case study of inland waterways supervision5citations
  • 2016Constraint satisfaction problem based on flow graph to study the resilience of inland navigation networks in a climate change context2citations
  • 2016A Global Approach For Investigating Resilience In Inland Navigation Network Dealing With Climate Change Context1citations
  • 2016Application on the Nord-Pas de Calais Network4citations
  • 2016Dynamic optimization approaches for resource allocation planning in inland navigation networks6citations
  • 2016Efficient management of inland navigation reaches equipped with lift pumps in a climate change contextcitations
  • 2016Study of Global Change Impacts on the Inland Navigation Management: Application on the Nord-Pas de Calais Network4citations
  • 2016Dealing with Large MDPs, case study of waterway networks supervision4citations
  • 2015Study of drought impact on inland navigation systems based on a flow network model11citations
  • 2013Agent-oriented Road Traffic Simulationcitations
  • 2008A behavioral multi-agent model for road traffic simulation111citations
  • 2006Multi-agent coordination and anticipation model to design a road traffic simulation toolcitations

Places of action

Chart of shared publication
Mandiau, René
7 / 29 shared
Diallo, Azise Oumar
1 / 1 shared
Lozenguez, Guillaume
14 / 15 shared
Diallo, Azise
3 / 3 shared
Li, Jinjian
1 / 1 shared
Boonaert, Jacques
1 / 6 shared
Lozenguez, G.
2 / 2 shared
Boonaert, J.
1 / 5 shared
Li, J.
1 / 41 shared
RAJAOARISOA, Lala
4 / 21 shared
Duviella, Eric
18 / 40 shared
Segovia, P.
1 / 8 shared
Puig, Vicenç
1 / 39 shared
Nejjari, F.
1 / 4 shared
Castillo, Pablo Segovia
1 / 1 shared
Akhi-elarab, Fatiha Nejjari
1 / 1 shared
Desquesnes, Guillaume
8 / 9 shared
Alves, D. C. C. S.
3 / 4 shared
Nouasse, Houda
8 / 8 shared
Desquesnes, G.
1 / 1 shared
Chuquet, Karine
6 / 14 shared
Archimède, Bernard
2 / 5 shared
Chiron, Pascale
2 / 2 shared
Horváth, Klaudia
1 / 9 shared
Horváth, K.
1 / 1 shared
Espie, S.
2 / 68 shared
Piechowiak, S.
2 / 18 shared
Piechowiak, S.
1 / 1 shared
Espié, S.
1 / 1 shared
Chart of publication period
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Co-Authors (by relevance)

  • Mandiau, René
  • Diallo, Azise Oumar
  • Lozenguez, Guillaume
  • Diallo, Azise
  • Li, Jinjian
  • Boonaert, Jacques
  • Lozenguez, G.
  • Boonaert, J.
  • Li, J.
  • RAJAOARISOA, Lala
  • Duviella, Eric
  • Segovia, P.
  • Puig, Vicenç
  • Nejjari, F.
  • Castillo, Pablo Segovia
  • Akhi-elarab, Fatiha Nejjari
  • Desquesnes, Guillaume
  • Alves, D. C. C. S.
  • Nouasse, Houda
  • Desquesnes, G.
  • Chuquet, Karine
  • Archimède, Bernard
  • Chiron, Pascale
  • Horváth, Klaudia
  • Horváth, K.
  • Espie, S.
  • Piechowiak, S.
  • Piechowiak, S.
  • Espié, S.