Detail publikace

Verification of Genetic Algorithm in Dynamic Traffic Light Management

FUJDIAK, R. MLÝNEK, P. MIŠUREC, J. PETRÁK, T.

Originální název

Verification of Genetic Algorithm in Dynamic Traffic Light Management

Anglický název

Verification of Genetic Algorithm in Dynamic Traffic Light Management

Jazyk

en

Originální abstrakt

This Article deals with traffic light management in cities. Our solution is based on a sensor network, which should provide enough information for dynamic methods. This solution is about the implementation of genetic algorithms into the system of traffic light control systems to make it more efficient. The article provides a simulation tool for dynamic and static traffic light management simulation, based on multi-agent system and discrete event simulation algorithms. The results of the simulation, provided in this article, should prove the benefits of our dynamic solution for city traffic, which has an indisputable impact on the living standard of citizens in cities.

Anglický abstrakt

This Article deals with traffic light management in cities. Our solution is based on a sensor network, which should provide enough information for dynamic methods. This solution is about the implementation of genetic algorithms into the system of traffic light control systems to make it more efficient. The article provides a simulation tool for dynamic and static traffic light management simulation, based on multi-agent system and discrete event simulation algorithms. The results of the simulation, provided in this article, should prove the benefits of our dynamic solution for city traffic, which has an indisputable impact on the living standard of citizens in cities.

Dokumenty

BibTex 


@inproceedings{BUT114460,
  author="Radek {Fujdiak} and Petr {Mlýnek} and Jiří {Mišurec} and Tomáš {Petrák}",
  title="Verification of Genetic Algorithm in Dynamic Traffic Light Management",
  annote="This Article deals with traffic light management in cities. Our solution is based on a sensor network, which should provide enough information for dynamic methods. This solution is about the implementation of genetic algorithms into the system of traffic light control systems to make it more efficient. The article provides a simulation tool for dynamic and static traffic light management simulation, based on multi-agent system and discrete event simulation algorithms. The results of the simulation, provided in this article, should prove the benefits of our dynamic solution for city traffic, which has an indisputable impact on the living standard of citizens in cities.",
  address="Asszisztencia Szervezo Kft.",
  booktitle="Proceedings of the 38th International Conference on Telecommunication and Signal Processing, TSP 2015",
  chapter="114460",
  doi="10.1109/TSP.2015.7296275",
  edition="1",
  howpublished="electronic, physical medium",
  institution="Asszisztencia Szervezo Kft.",
  year="2015",
  month="july",
  pages="314--318",
  publisher="Asszisztencia Szervezo Kft.",
  type="conference paper"
}