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Simulation of Truck-Involved Mixed Traffic Flow in Accident-Prone Sections.

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Title: Simulation of Truck-Involved Mixed Traffic Flow in Accident-Prone Sections.
Authors: Zeng, Junwei zengjunwei@mail.lzjtu.cn, Yang, Pei yangpeiyxy@163.com, Qian, Yongsheng qianyongsheng@mail.lzjtu.cn, Wei, Xu weixt@mail.lzjtu.cn
Source: Engineering Letters. May2026, Vol. 34 Issue 5, p1524-1532. 9p.
Subjects: Traffic flow, Traffic accidents, Computer simulation, Cellular automata, Lane changing, Traffic congestion, Autonomous vehicles
Abstract: To investigate the impact of traffic accidents and lorry proportions on mixed traffic involving autonomous passenger cars, this study employs corresponding following modes for different vehicle types, refines passenger car lane-changing rules, and establishes more realistic lorry lane-changing rules. A three-lane cellular automaton traffic flow model was constructed, and numerical simulations analysed the effects of accident locations and lorry proportions on traffic flow under varying autonomous passenger car penetration rates. Simulations reveal that as the number of closed sections increases due to accidents, traffic flow and lane-changing rates decrease, while congestion rate increases. With higher truck proportions, the reduction in traffic flow and the increase in lane-changing rates diminish, while the rise in congestion rates intensifies. Accident severity and truck proportion exert a greater influence on traffic flow at high autonomous passenger car penetration rates. [ABSTRACT FROM AUTHOR]
Copyright of Engineering Letters is the property of International Association of Engineers (IAENG) 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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  Data: Simulation of Truck-Involved Mixed Traffic Flow in Accident-Prone Sections.
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  Data: <searchLink fieldCode="AR" term="%22Zeng%2C+Junwei%22">Zeng, Junwei</searchLink><i> zengjunwei@mail.lzjtu.cn</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Pei%22">Yang, Pei</searchLink><i> yangpeiyxy@163.com</i><br /><searchLink fieldCode="AR" term="%22Qian%2C+Yongsheng%22">Qian, Yongsheng</searchLink><i> qianyongsheng@mail.lzjtu.cn</i><br /><searchLink fieldCode="AR" term="%22Wei%2C+Xu%22">Wei, Xu</searchLink><i> weixt@mail.lzjtu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Engineering+Letters%22">Engineering Letters</searchLink>. May2026, Vol. 34 Issue 5, p1524-1532. 9p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Traffic+flow%22">Traffic flow</searchLink><br /><searchLink fieldCode="DE" term="%22Traffic+accidents%22">Traffic accidents</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Cellular+automata%22">Cellular automata</searchLink><br /><searchLink fieldCode="DE" term="%22Lane+changing%22">Lane changing</searchLink><br /><searchLink fieldCode="DE" term="%22Traffic+congestion%22">Traffic congestion</searchLink><br /><searchLink fieldCode="DE" term="%22Autonomous+vehicles%22">Autonomous vehicles</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: To investigate the impact of traffic accidents and lorry proportions on mixed traffic involving autonomous passenger cars, this study employs corresponding following modes for different vehicle types, refines passenger car lane-changing rules, and establishes more realistic lorry lane-changing rules. A three-lane cellular automaton traffic flow model was constructed, and numerical simulations analysed the effects of accident locations and lorry proportions on traffic flow under varying autonomous passenger car penetration rates. Simulations reveal that as the number of closed sections increases due to accidents, traffic flow and lane-changing rates decrease, while congestion rate increases. With higher truck proportions, the reduction in traffic flow and the increase in lane-changing rates diminish, while the rise in congestion rates intensifies. Accident severity and truck proportion exert a greater influence on traffic flow at high autonomous passenger car penetration rates. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Engineering Letters is the property of International Association of Engineers (IAENG) 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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        Text: English
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        PageCount: 9
        StartPage: 1524
    Subjects:
      – SubjectFull: Traffic flow
        Type: general
      – SubjectFull: Traffic accidents
        Type: general
      – SubjectFull: Computer simulation
        Type: general
      – SubjectFull: Cellular automata
        Type: general
      – SubjectFull: Lane changing
        Type: general
      – SubjectFull: Traffic congestion
        Type: general
      – SubjectFull: Autonomous vehicles
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      – TitleFull: Simulation of Truck-Involved Mixed Traffic Flow in Accident-Prone Sections.
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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