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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Strbac, Goran

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

Topics

  • electric vehicle
  • vehicle fleet
  • vehicle to grid
  • scheduling
  • coordination
  • modeling
  • carbon
  • learning
  • electric vehicle charging
  • fuzzy logic
  • abstract
  • computer science
  • algorithm
  • forecasting
  • structural engineering
  • mechanical engineering
  • electric power
  • optimisation
  • costs
  • monitoring
  • employed
  • gas
  • plant
  • bus
  • electric power plant
  • law
  • wind
  • economics
  • pipeline
  • pipeline transportation
  • uncertainty
  • energy resource
  • farm
  • downtime
  • pricing
  • frequency response
  • assessment
  • industry
  • contaminant
  • road
  • highway traffic
  • simulation
  • automotive engineering
  • fuel consumption
  • turbine
  • synthetic
  • electrification
  • chemical
  • dynamic model
  • flexibility
  • supporting
  • fossil fuel
  • chemical engineering
  • renewable energy source
  • warehousing
  • fuel
  • pump
  • electrical engineering
  • planning
  • variable
  • investment
  • market
  • constraint
  • bottleneck
  • mixed integer programming
  • expansion
  • operating costs
  • industrial engineering
  • carbonisation
  • show 39 more
  • show less

Publications

  • 2022Value of optimal trip and charging scheduling of commercial electric vehicle fleets with Vehicle-to-Grid in future low inertia systems3citations
  • 2022An Efficient LP-based Approach for Spatial-Temporal Coordination of Electric Vehicles in Electricity-Transportation Nexus1citations
  • 2022A novel deep-learning based surrogate modeling of stochastic electric vehicle traffic user equilibrium in low-carbon electricity-transportation nexuscitations
  • 2022Multi-service provision for electric vehicles in power-transportation networks towards a low-carbon transition: A hierarchical and hybrid multi-agent reinforcement learning approach5citations
  • 2020Special Issue on Advanced Approaches and Applications for Electric Vehicle Charging Demand Management1citations
  • 2020Co-optimization of resilient gas and electricity networks; a novel possibilistic chance-constrained programming approach14citations
  • 2020A Deep Reinforcement Learning Method for Pricing Electric Vehicles With Discrete Charging Levels36citations
  • 2016Challenges of Primary Frequency Control and Benefits of Primary Frequency Response Support from Electric Vehicles8citations
  • 2016Challenges on primary frequency control and potential solution from EVs in the future GB electricity system53citations
  • 2015Benefits of flexibility from smart electrified transportation and heating in the future UK electricity system60citations
  • 2015Co-Optimization of Generation Expansion Planning and Electric Vehicles Flexibility47citations

Places of action

Chart of shared publication
Blatiak, Alicia
1 / 1 shared
Badesa, Luis
1 / 1 shared
Bellizio, Federica
1 / 1 shared
Tang, Yi
2 / 2 shared
Ye, Yujian
3 / 3 shared
Wang, Hongru
1 / 1 shared
Wang, Qi
1 / 9 shared
Liu, Yuanchang
1 / 2 shared
Yuan, Quan
1 / 10 shared
Wang, Yi
1 / 7 shared
Qiu, Dawei
2 / 2 shared
Sun, Mingyang
1 / 1 shared
Kariniotakis, Georges
1 / 5 shared
Ding, Zhaohao
1 / 1 shared
Sarikprueck, Piampoom
1 / 1 shared
Hu, Zechun
1 / 1 shared
Teng, Fei
4 / 12 shared
Lee, Wei-jen
1 / 1 shared
Shabazbegian, Vahid
1 / 1 shared
Ameli, Hossein
1 / 1 shared
Qadrdan, Meysam
1 / 2 shared
Ameli, Mohammad Taghi
1 / 4 shared
Papadaskalopoulos, Dimitrios
2 / 2 shared
Wu, Jianzhong
2 / 5 shared
Mu, Yunfei
2 / 4 shared
Zeng, Pingliang
2 / 2 shared
Jia, Hongjie
2 / 4 shared
Aunedi, Marko
1 / 3 shared
Ramirez, Pedro J.
1 / 1 shared
Chart of publication period
2022
2020
2016
2015

Co-Authors (by relevance)

  • Blatiak, Alicia
  • Badesa, Luis
  • Bellizio, Federica
  • Tang, Yi
  • Ye, Yujian
  • Wang, Hongru
  • Wang, Qi
  • Liu, Yuanchang
  • Yuan, Quan
  • Wang, Yi
  • Qiu, Dawei
  • Sun, Mingyang
  • Kariniotakis, Georges
  • Ding, Zhaohao
  • Sarikprueck, Piampoom
  • Hu, Zechun
  • Teng, Fei
  • Lee, Wei-jen
  • Shabazbegian, Vahid
  • Ameli, Hossein
  • Qadrdan, Meysam
  • Ameli, Mohammad Taghi
  • Papadaskalopoulos, Dimitrios
  • Wu, Jianzhong
  • Mu, Yunfei
  • Zeng, Pingliang
  • Jia, Hongjie
  • Aunedi, Marko
  • Ramirez, Pedro J.