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Driving behavior of connected autonomous vehicles in mixed traffic flow within ramp segments on freeway based on an advanced cellular automata.

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Title: Driving behavior of connected autonomous vehicles in mixed traffic flow within ramp segments on freeway based on an advanced cellular automata.
Authors: Wang, Tianshi1 (AUTHOR) wts18@mails.tsinghua.edu.cn, Lu, Huapu1 (AUTHOR) luhp@mail.tsinghua.edu.cn, Sun, Zhiyuan1,2 (AUTHOR) sunzhiyuan@bjut.edu.cn, Wang, Jianyu3 (AUTHOR) wangjianyu@bucea.edu.cn, Du, Ximing4 (AUTHOR) wangjianyu@bucea.edu.cn
Source: Modern Physics Letters B. 2/28/2023, Vol. 37 Issue 6, p1-21. 21p.
Subjects: Traffic flow, Cellular automata, Motor vehicle driving, Lane changing, Express highways, Intelligent networks, Autonomous vehicles
Abstract: Connected autonomous vehicles (CAV) are currently under development, and the mixed flow with CAV would make the traffic states more complicated. Due to the lack of mature applications, the future traffic with CAV are still full of uncertainties. Under the new situation, the traditional cellular automata (CA) model is in need of upgrade. To discover the characteristics of traffic flow under different CAV penetration rates, and considering the particularity of the ramp segments on freeway, this paper updates the current CA model and analyzes the car-following and lane-changing behavior of mixed traffic flow under the intelligent network. Results show that, as the CAV penetration rate continues to increase, the road operation performance continues to improve, and the capacity of the road segment increases accordingly. [ABSTRACT FROM AUTHOR]
Copyright of Modern Physics Letters B is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 162326021
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PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Label: Title
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  Data: Driving behavior of connected autonomous vehicles in mixed traffic flow within ramp segments on freeway based on an advanced cellular automata.
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Tianshi%22">Wang, Tianshi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wts18@mails.tsinghua.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Lu%2C+Huapu%22">Lu, Huapu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> luhp@mail.tsinghua.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Sun%2C+Zhiyuan%22">Sun, Zhiyuan</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> sunzhiyuan@bjut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Jianyu%22">Wang, Jianyu</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> wangjianyu@bucea.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Du%2C+Ximing%22">Du, Ximing</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> <email>wangjianyu@bucea.edu.cn</email></i>
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  Data: <searchLink fieldCode="JN" term="%22Modern+Physics+Letters+B%22">Modern Physics Letters B</searchLink>. 2/28/2023, Vol. 37 Issue 6, p1-21. 21p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Traffic+flow%22">Traffic flow</searchLink><br /><searchLink fieldCode="DE" term="%22Cellular+automata%22">Cellular automata</searchLink><br /><searchLink fieldCode="DE" term="%22Motor+vehicle+driving%22">Motor vehicle driving</searchLink><br /><searchLink fieldCode="DE" term="%22Lane+changing%22">Lane changing</searchLink><br /><searchLink fieldCode="DE" term="%22Express+highways%22">Express highways</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligent+networks%22">Intelligent networks</searchLink><br /><searchLink fieldCode="DE" term="%22Autonomous+vehicles%22">Autonomous vehicles</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Connected autonomous vehicles (CAV) are currently under development, and the mixed flow with CAV would make the traffic states more complicated. Due to the lack of mature applications, the future traffic with CAV are still full of uncertainties. Under the new situation, the traditional cellular automata (CA) model is in need of upgrade. To discover the characteristics of traffic flow under different CAV penetration rates, and considering the particularity of the ramp segments on freeway, this paper updates the current CA model and analyzes the car-following and lane-changing behavior of mixed traffic flow under the intelligent network. Results show that, as the CAV penetration rate continues to increase, the road operation performance continues to improve, and the capacity of the road segment increases accordingly. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Modern Physics Letters B is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1142/S0217984922501949
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 21
        StartPage: 1
    Subjects:
      – SubjectFull: Traffic flow
        Type: general
      – SubjectFull: Cellular automata
        Type: general
      – SubjectFull: Motor vehicle driving
        Type: general
      – SubjectFull: Lane changing
        Type: general
      – SubjectFull: Express highways
        Type: general
      – SubjectFull: Intelligent networks
        Type: general
      – SubjectFull: Autonomous vehicles
        Type: general
    Titles:
      – TitleFull: Driving behavior of connected autonomous vehicles in mixed traffic flow within ramp segments on freeway based on an advanced cellular automata.
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          Name:
            NameFull: Wang, Tianshi
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          Name:
            NameFull: Lu, Huapu
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            NameFull: Sun, Zhiyuan
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            NameFull: Wang, Jianyu
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            NameFull: Du, Ximing
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            – D: 28
              M: 02
              Text: 2/28/2023
              Type: published
              Y: 2023
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              Value: 37
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