Establishment of car following theory based on fuzzy-based sensitivity parameters

Jaimu Won; Sooil Lee; Soobeom Lee; Tae Ho Kim

doi:10.1007/978-3-540-69429-8_66

Establishment of car following theory based on fuzzy-based sensitivity parameters

Jaimu Won, Sooil Lee, Soobeom Lee, Tae Ho Kim

Department of Transportation Engineering

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

3 Scopus citations

Abstract

Various traffic simulation programs have been developed, and the role of micro simulation increases recently, and the car following theory provides the theoretical background. However, current car following models apply the uniform driver factors regardless the characteristics of driver, vehicle and highway, then there exists a gap between the simulation result and real situation. This study is performed to derive the driver's sensitivity parameters which are even closer to the real. The fuzzy approximate reasoning can find the driver's sensitivity which varies by the traffic situation. Result shows better performance than the GM model. It means that the proposed driver's sensitivity parameters can represent the real situation better.

Original language	English
Title of host publication	Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings
Pages	613-619
Number of pages	7
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-540-69429-8_66
State	Published - 2007
Event	13th International Multimedia Modeling Conference, MMM 2007 - Singapore, Singapore Duration: 9 Jan 2007 → 12 Jan 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	4352 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Multimedia Modeling Conference, MMM 2007
Country/Territory	Singapore
City	Singapore
Period	9/01/07 → 12/01/07

Access to Document

10.1007/978-3-540-69429-8_66

Cite this

Won, J., Lee, S., Lee, S., & Kim, T. H. (2007). Establishment of car following theory based on fuzzy-based sensitivity parameters. In Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings (PART 2 ed., pp. 613-619). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4352 LNCS, No. PART 2). https://doi.org/10.1007/978-3-540-69429-8_66

Won, Jaimu ; Lee, Sooil ; Lee, Soobeom et al. / Establishment of car following theory based on fuzzy-based sensitivity parameters. Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings. PART 2. ed. 2007. pp. 613-619 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{90e4ada22a7b460688117937eaf580ea,

title = "Establishment of car following theory based on fuzzy-based sensitivity parameters",

abstract = "Various traffic simulation programs have been developed, and the role of micro simulation increases recently, and the car following theory provides the theoretical background. However, current car following models apply the uniform driver factors regardless the characteristics of driver, vehicle and highway, then there exists a gap between the simulation result and real situation. This study is performed to derive the driver's sensitivity parameters which are even closer to the real. The fuzzy approximate reasoning can find the driver's sensitivity which varies by the traffic situation. Result shows better performance than the GM model. It means that the proposed driver's sensitivity parameters can represent the real situation better.",

author = "Jaimu Won and Sooil Lee and Soobeom Lee and Kim, {Tae Ho}",

year = "2007",

doi = "10.1007/978-3-540-69429-8_66",

language = "English",

isbn = "9783540694281",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 2",

pages = "613--619",

booktitle = "Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings",

edition = "PART 2",

note = "13th International Multimedia Modeling Conference, MMM 2007 ; Conference date: 09-01-2007 Through 12-01-2007",

}

Won, J, Lee, S, Lee, S & Kim, TH 2007, Establishment of car following theory based on fuzzy-based sensitivity parameters. in Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 4352 LNCS, pp. 613-619, 13th International Multimedia Modeling Conference, MMM 2007, Singapore, Singapore, 9/01/07. https://doi.org/10.1007/978-3-540-69429-8_66

Establishment of car following theory based on fuzzy-based sensitivity parameters. / Won, Jaimu; Lee, Sooil; Lee, Soobeom et al.
Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings. PART 2. ed. 2007. p. 613-619 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4352 LNCS, No. PART 2).

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

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N2 - Various traffic simulation programs have been developed, and the role of micro simulation increases recently, and the car following theory provides the theoretical background. However, current car following models apply the uniform driver factors regardless the characteristics of driver, vehicle and highway, then there exists a gap between the simulation result and real situation. This study is performed to derive the driver's sensitivity parameters which are even closer to the real. The fuzzy approximate reasoning can find the driver's sensitivity which varies by the traffic situation. Result shows better performance than the GM model. It means that the proposed driver's sensitivity parameters can represent the real situation better.

AB - Various traffic simulation programs have been developed, and the role of micro simulation increases recently, and the car following theory provides the theoretical background. However, current car following models apply the uniform driver factors regardless the characteristics of driver, vehicle and highway, then there exists a gap between the simulation result and real situation. This study is performed to derive the driver's sensitivity parameters which are even closer to the real. The fuzzy approximate reasoning can find the driver's sensitivity which varies by the traffic situation. Result shows better performance than the GM model. It means that the proposed driver's sensitivity parameters can represent the real situation better.

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Won J, Lee S, Lee S, Kim TH. Establishment of car following theory based on fuzzy-based sensitivity parameters. In Advances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings. PART 2 ed. 2007. p. 613-619. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-540-69429-8_66

Establishment of car following theory based on fuzzy-based sensitivity parameters

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