Detail publikace

A Scalable Cellular Automata Based Microscopic Traffic Simulation

Originální název

A Scalable Cellular Automata Based Microscopic Traffic Simulation

Anglický název

A Scalable Cellular Automata Based Microscopic Traffic Simulation

Jazyk

en

Originální abstrakt

This paper presents a new model for simulations of very large scale traffic networks. The proposed model is based on microscopic cellular automata (CA) extended to eliminate unwanted properties of ordinary CA based models, such as stopping from maximum speed to zero in one time step. The accuracy of the model has been validated by comparisons with various fundamental diagrams. A parallel implementation developed using the proposed model allows for an almost linear speedup. This allows to run a simulation multiple in real-time, that the traffic state of very large scale networks can be precisely predicted, for example, with various scenarios.

Anglický abstrakt

This paper presents a new model for simulations of very large scale traffic networks. The proposed model is based on microscopic cellular automata (CA) extended to eliminate unwanted properties of ordinary CA based models, such as stopping from maximum speed to zero in one time step. The accuracy of the model has been validated by comparisons with various fundamental diagrams. A parallel implementation developed using the proposed model allows for an almost linear speedup. This allows to run a simulation multiple in real-time, that the traffic state of very large scale networks can be precisely predicted, for example, with various scenarios.

BibTex


@inproceedings{BUT76305,
  author="Pavol {Korček} and Lukáš {Sekanina} and Otto {Fučík}",
  title="A Scalable Cellular Automata Based Microscopic Traffic Simulation",
  annote="This paper presents a new model for simulations of very large scale traffic
networks. The proposed model is based on microscopic cellular automata (CA)
extended to eliminate unwanted properties of ordinary CA based models, such as
stopping from maximum speed to zero in one time step. The accuracy of the model
has been validated by comparisons with various fundamental diagrams. A parallel
implementation developed using the proposed model allows for an almost linear
speedup. This allows to run a simulation multiple in real-time, that the traffic
state of very large scale networks can be precisely predicted, for example, with
various scenarios.",
  address="IEEE Intelligent Transportation Systems Society",
  booktitle="Proceedings of the IEEE Intelligent Vehicles Symposium 2011 (IV11)",
  chapter="76305",
  doi="10.1109/IVS.2011.5940393",
  edition="NEUVEDEN",
  howpublished="electronic, physical medium",
  institution="IEEE Intelligent Transportation Systems Society",
  year="2011",
  month="june",
  pages="13--18",
  publisher="IEEE Intelligent Transportation Systems Society",
  type="conference paper"
}