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Effective evaluation of autonomous taxi fleets
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Document type :
Communication dans un congrès avec actes
Title :
Effective evaluation of autonomous taxi fleets
Author(s) :
Mathieu, Philippe [Auteur] refId
Systèmes Multi-Agents et Comportements [SMAC]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Nongaillard, Antoine [Auteur] refId
Systèmes Multi-Agents et Comportements [SMAC]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Conference title :
ICAART 2018 - 10th International Conference on Agents and Artificial Intelligence
City :
Funchal
Country :
Portugal
Start date of the conference :
2018-01-16
English keyword(s) :
Simulation
Multiagent systems
Complex systems
collective strategies
trafic management systems
HAL domain(s) :
Informatique [cs]/Système multi-agents [cs.MA]
Informatique [cs]/Modélisation et simulation
Informatique [cs]/Intelligence artificielle [cs.AI]
English abstract : [en]
With the advent of autonomous vehicles, self-management of taxis fleet becomes an important issue for the automotive industry. Designing strategies for taxis turns out to be a difficult task due to a large number of ...
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With the advent of autonomous vehicles, self-management of taxis fleet becomes an important issue for the automotive industry. Designing strategies for taxis turns out to be a difficult task due to a large number of parameters and metrics involved. Performance evaluation of these strategies is also a complex problem since effectiveness in some configurations may become inefficiency in others. After formalizing this problem we propose several strategies based on swarm-computing techniques. Finally, we show that metric unification is necessary and that only a multi-criterion approach illustrated by an economic analysis allows a comparison. We conclude with a description of the simulator implemented and some examples showing the measurements made with the proposed strategies.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Source :
Harvested from HAL
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