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作者:

An, Shuke (An, Shuke.) | Xu, Liangjie (Xu, Liangjie.) | Chen, Guojun (Chen, Guojun.) | Shi, Zeyu (Shi, Zeyu.)

收录:

SCIE

摘要:

In order to explore the influence of driver's characteristics in complex traffic flow, experienced, inexperienced attribution and the perception headway of the driver are introduced. Concurrently, an extended car-following model is established. The linear stability of the extended model is derived based on the control theory method, and obtains the stability conditions. This work verifies the impact of driver characteristics on traffic flow stability based on the open boundary simulation environment. The research results show that inexperienced driver will reduce the stability of traffic flow on complex roads, while experienced driver will improve the stability of traffic flow. Compared with the driver's negative perception headway error, the positive perception headway error can improve the stability of traffic flow. More specifically, an experienced driver is good at predicting the state of the preceding vehicle, while the driver's positive perception headway error tends to narrow the safe headway, and achieve the stability of traffic flow.

关键词:

Car-following model driver characteristics experienced and inexperienced attribution perception headway straight and curved road

作者机构:

  • [ 1 ] [An, Shuke]Wuhan Univ Technol, Sch Transportat, 1178 Heping Ave,Yangyuan St Off, Wuhan 430063, Peoples R China
  • [ 2 ] [Xu, Liangjie]Wuhan Univ Technol, Sch Transportat, 1178 Heping Ave,Yangyuan St Off, Wuhan 430063, Peoples R China
  • [ 3 ] [Chen, Guojun]Wuhan Univ Technol, Sch Transportat, 1178 Heping Ave,Yangyuan St Off, Wuhan 430063, Peoples R China
  • [ 4 ] [Xu, Liangjie]Hubei Univ Arts & Sci, Sch Automot & Traff Engn, 296 Longzhong Rd, Xiangyang 441053, Peoples R China
  • [ 5 ] [Shi, Zeyu]Beijing Univ Technol, Coll Metropolitan Transportat, 100 Pingleyuan, Beijing 100124, Peoples R China

通讯作者信息:

  • [Xu, Liangjie]Wuhan Univ Technol, Sch Transportat, 1178 Heping Ave,Yangyuan St Off, Wuhan 430063, Peoples R China;;[Xu, Liangjie]Hubei Univ Arts & Sci, Sch Automot & Traff Engn, 296 Longzhong Rd, Xiangyang 441053, Peoples R China

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来源 :

MODERN PHYSICS LETTERS B

ISSN: 0217-9849

年份: 2020

期: 16

卷: 34

1 . 9 0 0

JCR@2022

ESI学科: PHYSICS;

ESI高被引阀值:26

JCR分区:2

被引次数:

WoS核心集被引频次: 14

SCOPUS被引频次: 10

ESI高被引论文在榜: 0 展开所有

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