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

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Bibliographic Details
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]
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Database:	Engineering Source

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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]
ISSN:	1816093X