Improving yellow time method of left-turning traffic flow at signalized intersection networks by ITS

Hyung Jin Kim; Bongsoo Son; Soobeom Lee; Joowon Park

doi:10.1007/11424826_84

Improving yellow time method of left-turning traffic flow at signalized intersection networks by ITS

Hyung Jin Kim, Bongsoo Son, Soobeom Lee, Joowon Park

Department of Transportation Engineering

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

The main purpose of this paper is to present a method for determining yellow time of left-turning traffic flow based on dilemma zone concept. The results of comparative analysis show that estimated yellow times obtained from the model proposed in this paper are much different from actual yellow times obtained from the field. Actual yellow times are considerably shorter than the estimated yellow time. These results would be very significant for signalized intersection networks in terms of improving traffic safety and traffic signal operation. A method for improving yellow time of left-turning movement by Intelligent Transportation Systems (ITS) is presented.

Original language	English
Pages (from-to)	789-797
Number of pages	9
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3481
Issue number	II
DOIs	https://doi.org/10.1007/11424826_84
State	Published - 2005
Event	International Conference on Computational Science and Its Applications - ICCSA 2005 - , Singapore Duration: 9 May 2005 → 12 May 2005

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10.1007/11424826_84

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title = "Improving yellow time method of left-turning traffic flow at signalized intersection networks by ITS",

abstract = "The main purpose of this paper is to present a method for determining yellow time of left-turning traffic flow based on dilemma zone concept. The results of comparative analysis show that estimated yellow times obtained from the model proposed in this paper are much different from actual yellow times obtained from the field. Actual yellow times are considerably shorter than the estimated yellow time. These results would be very significant for signalized intersection networks in terms of improving traffic safety and traffic signal operation. A method for improving yellow time of left-turning movement by Intelligent Transportation Systems (ITS) is presented.",

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number = "II",

note = "International Conference on Computational Science and Its Applications - ICCSA 2005 ; Conference date: 09-05-2005 Through 12-05-2005",

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Improving yellow time method of left-turning traffic flow at signalized intersection networks by ITS. / Kim, Hyung Jin; Son, Bongsoo; Lee, Soobeom et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3481, No. II, 2005, p. 789-797.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - Improving yellow time method of left-turning traffic flow at signalized intersection networks by ITS

AU - Kim, Hyung Jin

AU - Son, Bongsoo

AU - Lee, Soobeom

AU - Park, Joowon

PY - 2005

Y1 - 2005

N2 - The main purpose of this paper is to present a method for determining yellow time of left-turning traffic flow based on dilemma zone concept. The results of comparative analysis show that estimated yellow times obtained from the model proposed in this paper are much different from actual yellow times obtained from the field. Actual yellow times are considerably shorter than the estimated yellow time. These results would be very significant for signalized intersection networks in terms of improving traffic safety and traffic signal operation. A method for improving yellow time of left-turning movement by Intelligent Transportation Systems (ITS) is presented.

AB - The main purpose of this paper is to present a method for determining yellow time of left-turning traffic flow based on dilemma zone concept. The results of comparative analysis show that estimated yellow times obtained from the model proposed in this paper are much different from actual yellow times obtained from the field. Actual yellow times are considerably shorter than the estimated yellow time. These results would be very significant for signalized intersection networks in terms of improving traffic safety and traffic signal operation. A method for improving yellow time of left-turning movement by Intelligent Transportation Systems (ITS) is presented.

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T2 - International Conference on Computational Science and Its Applications - ICCSA 2005

Y2 - 9 May 2005 through 12 May 2005

ER -

Improving yellow time method of left-turning traffic flow at signalized intersection networks by ITS

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