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

7.687 Topics available

To Map

871 Locations available

330.008 PEOPLE
330.008 People People

330.008 People

Show results for 330.008 people that are selected by your search filters.

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PeopleLocationsStatistics
Arnone, Maurizio
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  • 2022
Weimer, JulianCologne
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  • 2022
Yushau, Ilyas
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Rupi, Federico
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Bruneel, Herwig
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Percoco, Marco
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Gulati, Dhiraj
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Gubser, Ariane
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Friedrich, Horst E.Stuttgart
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Heldt, Benjamin
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Mélange, Willem
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Walraevens, Joris R R
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Ye, Yun-Guang
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MANNINO, CARLO
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Zhang, Yinggui
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Felux, Michael
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Russwinkel, Nele
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Unterhuber, PaulChamps-sur-Marne
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Lamorgese, Leonardo Cameron
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Veraldi, Valerio
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Endemann, Peter
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Plogmann, Justin
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Pensa, Stefano
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Schindewolf, Marc
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Ulrich, Christian
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Katib, Iyad A

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

Topics

  • road
  • highway traffic
  • data
  • learning
  • machinery
  • machine learning
  • big data
  • disaster
  • data management
  • evacuation
  • paper
  • city
  • forecasting
  • cloud
  • cloud computing
  • human being
  • architecture
  • traffic behavior
  • highway traffic control
  • reconstruction
  • flood
  • vehicular ad hoc network
  • traffic data
  • deep learning
  • system architecture
  • graphics
  • improvement
  • infrastructure
  • vehicle
  • algorithm
  • neural network
  • driving
  • traffic crash
  • intelligence
  • autonomous driving
  • image processing
  • traffic analysis
  • traffic incident
  • performance measurement
  • system of measurement
  • sphere
  • data fusion
  • vehicle detector
  • fire
  • weather condition
  • driver
  • public transport
  • crash
  • data analysis
  • traffic congestion
  • language
  • tree
  • decision tree
  • railway train
  • theory
  • fatality
  • information system
  • rain
  • spark
  • cognition
  • spinal column
  • implementation
  • costs
  • software
  • health
  • autumn
  • public health
  • cutting
  • traffic forecasting
  • survey
  • travel
  • passenger
  • safety
  • vehicle occupant
  • case study
  • city traffic
  • traffic mode
  • urban area
  • rapid transit
  • bus
  • traffic planning
  • passenger volume
  • walking
  • tube
  • time interval
  • origin and destination
  • city planning
  • forest
  • autonomous vehicle
  • perception
  • connected vehicle
  • camera
  • sensitivity
  • reliability
  • sunlight
  • show 65 more
  • show less

Publications

  • 2021Iktishaf+: A Big Data Tool with Automatic Labeling for Road Traffic Social Sensing and Event Detection Using Distributed Machine Learning26citations
  • 2020A Smart Disaster Management System for Future Cities Using Deep Learning, GPUs, and In-Memory Computing15citations
  • 2020In-Memory Deep Learning Computations on GPUs for Prediction of Road Traffic Incidents Using Big Data Fusion7citations
  • 2020Sentiment Analysis of Arabic Tweets for Road Traffic Congestion and Event Detection20citations
  • 2020Comparison of decision trees and deep learning for object classification in autonomous driving8citations
  • 2020Iktishaf: a Big Data Road-Traffic Event Detection Tool Using Twitter and Spark Machine Learning31citations
  • 2019Smarter Traffic Prediction Using Big Data, In-Memory Computing, Deep Learning and GPUs54citations
  • 2019Rapid Transit Systems: Smarter Urban Planning Using Big Data, In-Memory Computing, Deep Learning, and GPUs22citations
  • 2019TAAWUN: a Decision Fusion and Feature Specific Road Detection Approach for Connected Autonomous Vehicles21citations
  • 2019Road traffic event detection using twitter data, machine learning, and apache spark14citations
  • 2018D2TFRS: An Object Recognition Method for Autonomous Vehicles Based on RGB and Spatial Values of Pixels26citations

Places of action

Chart of shared publication
Alomari, Ebtesam Ahmad
3 / 4 shared
Yigitcanlar, Tan
1 / 8 shared
Albeshri, Aiiad Ahmad
4 / 6 shared
Mehmood, Rashid
9 / 16 shared
Alzahrani, Ahmed Saeed
4 / 5 shared
Aqib, Muhammad
4 / 5 shared
Mehmood, R.
2 / 5 shared
Alam, Furqan
3 / 3 shared
Altowaijri, Saleh M.
3 / 3 shared
Alomari, E.
1 / 1 shared
Chart of publication period
2021
2020
2019
2018

Co-Authors (by relevance)

  • Alomari, Ebtesam Ahmad
  • Yigitcanlar, Tan
  • Albeshri, Aiiad Ahmad
  • Mehmood, Rashid
  • Alzahrani, Ahmed Saeed
  • Aqib, Muhammad
  • Mehmood, R.
  • Alam, Furqan
  • Altowaijri, Saleh M.
  • Alomari, E.