Hovering Data Clouds for Recognizing Traffic Jams

Sándor P. Fekete; Christiane Schmidt; Axel Wegener; Stefan Fischer

doi:10.1109/ISoLA.2006.30

Hovering Data Clouds for Recognizing Traffic Jams

Sándor P. Fekete, Christiane Schmidt, Axel Wegener, Stefan Fischer

Institute of Telematics

Braunschweig Institute of Technology

Abstract

Many complex structures in our modern world exist independent of the individual entities they are composed of, giving them an "organic" quality. Important examples include traffic phenomena, e.g., traffic jams; despite of strong efforts over many years, centralized computing has been unable to deal with the resulting problems in a satisfactory manner. With the growing power of sensing devices and wireless communication, participants in traffic are no longer restricted to display passive, particle-like behavior; instead, local data exchange makes it technically feasible to aim for decentralized coordination between cars. One fundamental concept for making use of these possibilities comprises Hovering Data Clouds, which consist of relevant information that is kept by ever-changing carriers; a prototypical scenario arises in a traffic jam, where data is maintained by passing it on to newly arriving cars. In this study, we present algorithmic methods for this concept.

Original language	English
Title of host publication	Second International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (isola 2006)
Number of pages	6
Publisher	IEEE
Publication date	01.12.2007
Pages	198-203
Article number	4463713
ISBN (Print)	978-0-7695-3071-0
DOIs	https://doi.org/10.1109/ISoLA.2006.30
Publication status	Published - 01.12.2007
Event	2nd International Symposium on Leveraging Applications of Formal Methods, Verification and Validation - Paphos, Cyprus Duration: 15.11.2006 → 19.11.2006 Conference number: 81670

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10.1109/ISoLA.2006.30

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title = "Hovering Data Clouds for Recognizing Traffic Jams",

abstract = "Many complex structures in our modern world exist independent of the individual entities they are composed of, giving them an {"}organic{"} quality. Important examples include traffic phenomena, e.g., traffic jams; despite of strong efforts over many years, centralized computing has been unable to deal with the resulting problems in a satisfactory manner. With the growing power of sensing devices and wireless communication, participants in traffic are no longer restricted to display passive, particle-like behavior; instead, local data exchange makes it technically feasible to aim for decentralized coordination between cars. One fundamental concept for making use of these possibilities comprises Hovering Data Clouds, which consist of relevant information that is kept by ever-changing carriers; a prototypical scenario arises in a traffic jam, where data is maintained by passing it on to newly arriving cars. In this study, we present algorithmic methods for this concept.",

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Fekete, SP, Schmidt, C, Wegener, A & Fischer, S 2007, Hovering Data Clouds for Recognizing Traffic Jams. in Second International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (isola 2006)., 4463713, IEEE Proceedings, IEEE, pp. 198-203, 2nd International Symposium on Leveraging Applications of Formal Methods, Verification and Validation , Paphos, Cyprus, 15.11.06. https://doi.org/10.1109/ISoLA.2006.30

Hovering Data Clouds for Recognizing Traffic Jams. / Fekete, Sándor P.; Schmidt, Christiane; Wegener, Axel et al.
Second International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (isola 2006). IEEE, 2007. p. 198-203 4463713 (IEEE Proceedings).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

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T1 - Hovering Data Clouds for Recognizing Traffic Jams

AU - Fekete, Sándor P.

AU - Schmidt, Christiane

AU - Wegener, Axel

AU - Fischer, Stefan

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AB - Many complex structures in our modern world exist independent of the individual entities they are composed of, giving them an "organic" quality. Important examples include traffic phenomena, e.g., traffic jams; despite of strong efforts over many years, centralized computing has been unable to deal with the resulting problems in a satisfactory manner. With the growing power of sensing devices and wireless communication, participants in traffic are no longer restricted to display passive, particle-like behavior; instead, local data exchange makes it technically feasible to aim for decentralized coordination between cars. One fundamental concept for making use of these possibilities comprises Hovering Data Clouds, which consist of relevant information that is kept by ever-changing carriers; a prototypical scenario arises in a traffic jam, where data is maintained by passing it on to newly arriving cars. In this study, we present algorithmic methods for this concept.

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Hovering Data Clouds for Recognizing Traffic Jams

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