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Informed versus non-informed taxi drivers: agent-based simulation framework for assessing their performance

Salanova, J.; Moreira-Matas, L.; Saadallah, A.; Tzenos, P.; Aifadopoulou, G.; Chaniotakis, E.; Estrada, M.
Type of activity
Presentation of work at congresses
Name of edition
Transportation Research Board 97th Annual Meeting
Date of publication
Presentation's date
Book of congress proceedings
TRB Annual Meeting 2018: compendium of papers: January 7-11, 2018, Washington, DC
First page
Last page
Data driven research is becoming a standard in Transport. Recent advances in the Artificial Intelligence and Machine Learning related areas enable the possibility of automatically generating highly-accurate predictive analytics frameworks, under any context. Such frameworks can potentially provide unprecedented levels of information to all mobility actors regarding not only the current but also the future status of network variables – such as Origin-Destination flows. This fact elevates the de...
Benefit cost analysis, Information dissemination, Multi-agent systems, Passengers, Performance, Simulation, Spatial analysis, Taxi services, Taxicab drivers, Time domain analysis, Travel demand
Group of research
BIT - Barcelona Innovative Transportation


  • Salanova Grau, Josep Maria  (author and speaker )
  • Moreira-Matas, Luis  (author and speaker )
  • Saadallah, Amal  (author and speaker )
  • Tzenos, Panagiotis  (author and speaker )
  • Aifadopoulou, Georgia  (author and speaker )
  • Chaniotakis, Emmanouil  (author and speaker )
  • Estrada Romeu, Miguel Angel  (author and speaker )