Discretionary lane-changing behavior: empirical validation for one realistic rule-based model

Cheng Jie Jin; Victor L. Knoop; Dawei Li; Ling Yu Meng; Hao Wang

doi:10.1080/23249935.2018.1464526

Discretionary lane-changing behavior: empirical validation for one realistic rule-based model

Cheng Jie Jin^*, Victor L. Knoop, Dawei Li, Ling Yu Meng, Hao Wang

^*Corresponding author for this work

Transport and Planning

Research output: Contribution to journal › Article › Scientific › peer-review

27 Citations (Scopus)

86 Downloads (Pure)

Abstract

In this paper, we discuss the mechanisms for discretionary lane-changing behavior in traffic flow. NGSIM video data are used to check the validity of different lane-changing rules, and 373 lane changes at 4 locations in US-101 highway are analyzed. We find that the classical lane-changing rules of rule-based model cannot explain many cases in the empirical dataset. Therefore, we propose one new decision rule, comparing the position after a time horizon of several seconds without a lane-change. This rule can be described as “to have a further position within 9 seconds”. The tests on NGSIM data show that this rule can explain most (76%) of the lane-changing cases. Besides, some data when lane changes do not occur are also studied. We find that most (81%) of non-lane-changing vehicles do not fulfill the new rule. Thus, it can be considered as one sufficient and necessary condition for discretionary lane-changing.

Original language	English
Pages (from-to)	244–262
Number of pages	19
Journal	Transportmetrica A: Transport Science
Volume	15 (2019)
Issue number	2
DOIs	https://doi.org/10.1080/23249935.2018.1464526
Publication status	Published - 24 Apr 2018

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Discretionary lane change
lane-changing model
NGSIM data
non-lane-changing vehicles
rule-based model

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10.1080/23249935.2018.1464526

Discretionary lane changing behavior empirical validation for one realistic rule based modelFinal published version, 3.43 MB

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title = "Discretionary lane-changing behavior: empirical validation for one realistic rule-based model",

abstract = "In this paper, we discuss the mechanisms for discretionary lane-changing behavior in traffic flow. NGSIM video data are used to check the validity of different lane-changing rules, and 373 lane changes at 4 locations in US-101 highway are analyzed. We find that the classical lane-changing rules of rule-based model cannot explain many cases in the empirical dataset. Therefore, we propose one new decision rule, comparing the position after a time horizon of several seconds without a lane-change. This rule can be described as “to have a further position within 9 seconds”. The tests on NGSIM data show that this rule can explain most (76%) of the lane-changing cases. Besides, some data when lane changes do not occur are also studied. We find that most (81%) of non-lane-changing vehicles do not fulfill the new rule. Thus, it can be considered as one sufficient and necessary condition for discretionary lane-changing.",

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AU - Jin, Cheng Jie

AU - Knoop, Victor L.

AU - Li, Dawei

AU - Meng, Ling Yu

AU - Wang, Hao

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2018/4/24

Y1 - 2018/4/24

N2 - In this paper, we discuss the mechanisms for discretionary lane-changing behavior in traffic flow. NGSIM video data are used to check the validity of different lane-changing rules, and 373 lane changes at 4 locations in US-101 highway are analyzed. We find that the classical lane-changing rules of rule-based model cannot explain many cases in the empirical dataset. Therefore, we propose one new decision rule, comparing the position after a time horizon of several seconds without a lane-change. This rule can be described as “to have a further position within 9 seconds”. The tests on NGSIM data show that this rule can explain most (76%) of the lane-changing cases. Besides, some data when lane changes do not occur are also studied. We find that most (81%) of non-lane-changing vehicles do not fulfill the new rule. Thus, it can be considered as one sufficient and necessary condition for discretionary lane-changing.

AB - In this paper, we discuss the mechanisms for discretionary lane-changing behavior in traffic flow. NGSIM video data are used to check the validity of different lane-changing rules, and 373 lane changes at 4 locations in US-101 highway are analyzed. We find that the classical lane-changing rules of rule-based model cannot explain many cases in the empirical dataset. Therefore, we propose one new decision rule, comparing the position after a time horizon of several seconds without a lane-change. This rule can be described as “to have a further position within 9 seconds”. The tests on NGSIM data show that this rule can explain most (76%) of the lane-changing cases. Besides, some data when lane changes do not occur are also studied. We find that most (81%) of non-lane-changing vehicles do not fulfill the new rule. Thus, it can be considered as one sufficient and necessary condition for discretionary lane-changing.

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Discretionary lane-changing behavior: empirical validation for one realistic rule-based model

Abstract

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Keywords

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