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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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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Krishnan, Rajesh

  • Google
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Imperial College London

in Cooperation with on an Cooperation-Score of 37%

Topics

  • autonomous vehicle
  • human being
  • assessment
  • industry
  • traffic congestion
  • computer science
  • city
  • city traffic
  • attention
  • forest
  • feeding stuff
  • machinery
  • learning
  • neural network
  • intelligence
  • forecasting model
  • supervisor
  • transportation corridor
  • urban road
  • warning system
  • deep learning
  • feedforward control
  • simulation
  • monitoring
  • road network
  • traffic monitoring
  • data
  • case study
  • reliability
  • automobile
  • estimate
  • estimating
  • data file
  • sensor
  • travel
  • travel time
  • tunnel
  • probe vehicle
  • floating car data
  • sampling
  • harmonic
  • sensitivity
  • Bluetooth technology
  • vehicle detector
  • vehicle
  • algorithm
  • forecasting
  • routing
  • engineering
  • mining
  • data mining
  • motivation
  • hazard
  • navigation system
  • route guidance
  • broadcasting
  • time duration
  • traffic forecasting
  • researcher
  • structural engineering
  • mechanical engineering
  • experiment
  • positioning
  • law
  • position fixing
  • medical treatment
  • global positioning system
  • sensor data
  • employment
  • highway traffic control
  • information system
  • advanced traffic management system
  • traffic information system
  • engine
  • travel mode
  • bicycle
  • pedestrian
  • maintenance
  • motor
  • motor vehicle
  • flexibility
  • cluster analysis
  • arterial highway
  • railway train
  • variable
  • time series
  • machine learning
  • architecture
  • traffic flow
  • traffic control
  • managerial personnel
  • reading
  • weighting
  • train consist
  • control system
  • traffic incident
  • yielding
  • traffic control system
  • time period
  • control center
  • show 70 more
  • show less

Publications

  • 2020Right-of-way reallocation for mixed flow of autonomous vehicles and human driven vehicles36citations
  • 2019Early Identification of Recurrent Congestion in Heterogeneous Urban Traffic3citations
  • 2019Traffic Monitoring and Anomaly Detection based on Simulation of Luxembourg Road Network10citations
  • 2015Accuracy of Travel Time Estimation Using Bluetooth Technology: Case Study Limfjord Tunnel Aalborg17citations
  • 2015Accuracy of Travel Time Estimation Using Bluetooth Technology:Case Study Limfjord Tunnel Aalborg20citations
  • 2014A comparative study of k-NN and hazard-based models for incident duration prediction9citations
  • 2013A computationally efficient two-stage method for short-term traffic prediction on urban roads43citations
  • 2013Use of Low-Level Sensor Data to Improve the Accuracy of Bluetooth-Based Travel Time Estimation7citations
  • 2012Accuracy of Travel Time Estimation using Bluetooth Technology:Case Study Limfjord Tunnel Aalborgcitations
  • 2012Application of Bluetooth Technology for Mode- Specific Travel Time Estimation on Arterial Roads: Potentials and Challengescitations
  • 2011Short-Term Traffic Prediction Using a Binary Neural Network.citations
  • 2010INTELLIGENT DECISION SUPPORT FOR TRAFFIC MANAGEMENTcitations

Places of action

Chart of shared publication
Guo, Fangce
4 / 4 shared
Li, Tang
1 / 1 shared
Polak, John William
6 / 87 shared
Sivakumar, Aruna
3 / 41 shared
Zhu, Lin
2 / 4 shared
Lahrmann, Harry Spaabæk
5 / 42 shared
Namaki Araghi, Bahar
2 / 2 shared
Skoven Pedersen, Kristian
2 / 2 shared
Tørholm Christensen, Lars
2 / 2 shared
Bell, Michael G. H.
1 / 67 shared
Ochieng, Washington Yotto
1 / 68 shared
Araghi, Bahar Namaki
4 / 7 shared
Hu, Simon J
1 / 7 shared
Olesen, Jonas Hammershøj
1 / 1 shared
Christensen, Lars Tørholm
2 / 2 shared
Austin, James
2 / 3 shared
Hodge, Victoria Jane
2 / 3 shared
Jackson, Tom
2 / 3 shared
Lee, Tzu-Chang
1 / 4 shared
Smith, Mike
1 / 9 shared
Chart of publication period
2020
2019
2015
2014
2013
2012
2011
2010

Co-Authors (by relevance)

  • Guo, Fangce
  • Li, Tang
  • Polak, John William
  • Sivakumar, Aruna
  • Zhu, Lin
  • Lahrmann, Harry Spaabæk
  • Namaki Araghi, Bahar
  • Skoven Pedersen, Kristian
  • Tørholm Christensen, Lars
  • Bell, Michael G. H.
  • Ochieng, Washington Yotto
  • Araghi, Bahar Namaki
  • Hu, Simon J
  • Olesen, Jonas Hammershøj
  • Christensen, Lars Tørholm
  • Austin, James
  • Hodge, Victoria Jane
  • Jackson, Tom
  • Lee, Tzu-Chang
  • Smith, Mike