Self-Organization in Traffic Networks by Digital Pheromones

Wolfgang Narzt; Gustav Pomberger; Dieter Kolb; Jan Wieghardt; Horst Hörtner; Roland Haring; Ursula Wilflingseder; Oliver Seimel

doi:10.1109/ITSC.2007.4357705

Self-Organization in Traffic Networks by Digital Pheromones

Wolfgang Narzt, Gustav Pomberger, Dieter Kolb, Jan Wieghardt, Horst Hörtner, Roland Haring, Ursula Wilflingseder, Oliver Seimel

Institute of Business Informatics - Software Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

Nature often provides excellent patterns for the solution of technical problems and challenges: The principle of swarm intelligence e.g., is imitated by a manifold of optimization algorithms, where organisms mark their local environment in order to indirectly communicate with their conspecifics and to consequently solve complex Problems in the collective. Emerging positioning and communication Technologies allow extending swarm intelligence to the traffic system. Vehicles equipped with sensors, actuators and wireless communication technology virtually annotate their local environment for indirect communication and therefore form a smart collective with self-organizing capabilities following the example of nature. This paper presents and empirically verifies a decentralized self-organizing traffic flow model using a complex micro simulator capable of simulating real city Networks based on authentic data acquisitions.

Original language	English
Title of host publication	Proceedings of the 10th International IEEE Conference on Intelligent Transport Systems, Seattle, Washington, USA, September 30-October 3, 2007
Publisher	IEEE
Pages	490-495
Number of pages	6
ISBN (Print)	1424413966, 9781424413966
DOIs	https://doi.org/10.1109/ITSC.2007.4357705
Publication status	Published - Sept 2007

Fields of science

102006 Computer supported cooperative work (CSCW)
102015 Information systems
102016 IT security
102020 Medical informatics
102022 Software development
102027 Web engineering
502032 Quality management
502050 Business informatics
503015 Subject didactics of technical sciences
102034 Cyber-physical systems
509026 Digitalisation research
102040 Quantum computing

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10.1109/ITSC.2007.4357705

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Narzt, W., Pomberger, G., Kolb, D., Wieghardt, J., Hörtner, H., Haring, R., Wilflingseder, U., & Seimel, O. (2007). Self-Organization in Traffic Networks by Digital Pheromones. In Proceedings of the 10th International IEEE Conference on Intelligent Transport Systems, Seattle, Washington, USA, September 30-October 3, 2007 (pp. 490-495). Article 4357705 IEEE. https://doi.org/10.1109/ITSC.2007.4357705

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title = "Self-Organization in Traffic Networks by Digital Pheromones",

abstract = "Nature often provides excellent patterns for the solution of technical problems and challenges: The principle of swarm intelligence e.g., is imitated by a manifold of optimization algorithms, where organisms mark their local environment in order to indirectly communicate with their conspecifics and to consequently solve complex Problems in the collective. Emerging positioning and communication Technologies allow extending swarm intelligence to the traffic system. Vehicles equipped with sensors, actuators and wireless communication technology virtually annotate their local environment for indirect communication and therefore form a smart collective with self-organizing capabilities following the example of nature. This paper presents and empirically verifies a decentralized self-organizing traffic flow model using a complex micro simulator capable of simulating real city Networks based on authentic data acquisitions.",

author = "Wolfgang Narzt and Gustav Pomberger and Dieter Kolb and Jan Wieghardt and Horst H{\"o}rtner and Roland Haring and Ursula Wilflingseder and Oliver Seimel",

year = "2007",

month = sep,

doi = "10.1109/ITSC.2007.4357705",

language = "English",

isbn = "1424413966",

pages = "490--495",

booktitle = "Proceedings of the 10th International IEEE Conference on Intelligent Transport Systems, Seattle, Washington, USA, September 30-October 3, 2007",

publisher = "IEEE",

}

Narzt, W , Pomberger, G, Kolb, D, Wieghardt, J, Hörtner, H, Haring, R, Wilflingseder, U & Seimel, O 2007, Self-Organization in Traffic Networks by Digital Pheromones. in Proceedings of the 10th International IEEE Conference on Intelligent Transport Systems, Seattle, Washington, USA, September 30-October 3, 2007., 4357705, IEEE, pp. 490-495. https://doi.org/10.1109/ITSC.2007.4357705

Self-Organization in Traffic Networks by Digital Pheromones. / Narzt, Wolfgang ; Pomberger, Gustav; Kolb, Dieter et al.
Proceedings of the 10th International IEEE Conference on Intelligent Transport Systems, Seattle, Washington, USA, September 30-October 3, 2007. IEEE, 2007. p. 490-495 4357705.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - Self-Organization in Traffic Networks by Digital Pheromones

AU - Narzt, Wolfgang

AU - Pomberger, Gustav

AU - Kolb, Dieter

AU - Wieghardt, Jan

AU - Hörtner, Horst

AU - Haring, Roland

AU - Wilflingseder, Ursula

AU - Seimel, Oliver

PY - 2007/9

Y1 - 2007/9

N2 - Nature often provides excellent patterns for the solution of technical problems and challenges: The principle of swarm intelligence e.g., is imitated by a manifold of optimization algorithms, where organisms mark their local environment in order to indirectly communicate with their conspecifics and to consequently solve complex Problems in the collective. Emerging positioning and communication Technologies allow extending swarm intelligence to the traffic system. Vehicles equipped with sensors, actuators and wireless communication technology virtually annotate their local environment for indirect communication and therefore form a smart collective with self-organizing capabilities following the example of nature. This paper presents and empirically verifies a decentralized self-organizing traffic flow model using a complex micro simulator capable of simulating real city Networks based on authentic data acquisitions.

AB - Nature often provides excellent patterns for the solution of technical problems and challenges: The principle of swarm intelligence e.g., is imitated by a manifold of optimization algorithms, where organisms mark their local environment in order to indirectly communicate with their conspecifics and to consequently solve complex Problems in the collective. Emerging positioning and communication Technologies allow extending swarm intelligence to the traffic system. Vehicles equipped with sensors, actuators and wireless communication technology virtually annotate their local environment for indirect communication and therefore form a smart collective with self-organizing capabilities following the example of nature. This paper presents and empirically verifies a decentralized self-organizing traffic flow model using a complex micro simulator capable of simulating real city Networks based on authentic data acquisitions.

UR - https://www.se.jku.at/self-organization-in-traffic-networks-by-digital-pheromones/

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DO - 10.1109/ITSC.2007.4357705

M3 - Conference proceedings

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SN - 9781424413966

SP - 490

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BT - Proceedings of the 10th International IEEE Conference on Intelligent Transport Systems, Seattle, Washington, USA, September 30-October 3, 2007

PB - IEEE

ER -

Self-Organization in Traffic Networks by Digital Pheromones

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Digital Pheromones

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