The influence of the non-motor vehicles for the car-following model considering traffic jerk

被引:29
作者
Liu, Yi [1 ,2 ,3 ]
Cheng, Rong-jun [1 ,2 ,3 ]
Lei, Li [4 ]
Ge, Hong-xia [1 ,2 ,3 ]
机构
[1] Ningbo Univ, Fac Maritime & Transportat, Ningbo 315211, Zhejiang, Peoples R China
[2] Jiangsu Prov Collaborat Innovat Ctr Modern Urban, Nanjing 210096, Jiangsu, Peoples R China
[3] Ningbo Univ Subctr, Natl Traff Management Engn & Technol Res Ctr, Ningbo 315211, Zhejiang, Peoples R China
[4] Shangdong Univ, Sch Energy & Power Engn, Jinan 250061, Peoples R China
基金
中国国家自然科学基金;
关键词
Traffic flow; Car-following model; Control method; MODIFIED KDV EQUATION; NUMERICAL TESTS; LATTICE MODEL; FLOW; CONGESTION;
D O I
10.1016/j.physa.2016.07.042
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The influence of the non-motor vehicles and traffic jerk is considered for the car-following model in this paper. The control method is used to analyze the stability of the model. A control signal which is the velocity difference between the target vehicle and the following vehicle is added into the model and the stability condition is obtained. Numerical simulation is used to display the results for the stability of the model with and without control signal. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:376 / 382
页数:7
相关论文
共 50 条
[41]   Connected and Automated Vehicle Mixed-traffic Car-following Model Considering States of Multiple Front and Rear Vehicles [J].
Zong F. ;
Shi P.-X. ;
Wang M. ;
He Z.-B. .
Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 2021, 34 (07) :105-117
[42]   Nonlinear density wave investigation for an extended car-following model considering driver's memory and jerk [J].
Jin, Zhizhan ;
Li, Zhipeng ;
Cheng, Rongjun ;
Ge, Hongxia .
MODERN PHYSICS LETTERS B, 2018, 32 (01)
[43]   A mixed traffic car-following behavior model [J].
Wang, Xinke ;
Zhang, Jian ;
Li, Honghai ;
He, Zhengbing .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2023, 632
[44]   Improved Car-Following Model for Connected Vehicles Considering Backward-Looking Effect and Motion Information of Multiple Vehicles [J].
Ma, Minghui ;
Wang, Wenjie ;
Liang, Shidong ;
Xiao, Jiacheng ;
Wu, Chaoteng .
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2023, 149 (02)
[45]   Modeling and Analysis of Car-Following for Intelligent Connected Vehicles Considering Expected Speed in Helical Ramps [J].
Jin, Shuang ;
Yang, Jianxi ;
Liu, Zhongcheng .
SUSTAINABILITY, 2022, 14 (24)
[46]   A linear car-following model for connected autonomous vehicles considering the asymmetricity of acceleration and deceleration [J].
Xu, Tianze ;
Li, Rongrong ;
Zhang, Jiaqi ;
Mao, Yuhan .
COMPUTING, 2025, 107 (06)
[47]   A new car-following model considering recurrent neural network [J].
Hua, Chen .
INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2019, 33 (26)
[48]   An extended car-following model considering random safety distance with different probabilities [J].
Wang, Jufeng ;
Sun, Fenxin ;
Cheng, Rongjun ;
Ge, Hongxia ;
Wei, Qi .
MODERN PHYSICS LETTERS B, 2018, 32 (05)
[49]   An Extended Car-Following Model Considering Generalized Preceding Vehicles in V2X Environment [J].
Han, Junyan ;
Zhang, Jinglei ;
Wang, Xiaoyuan ;
Liu, Yaqi ;
Wang, Quanzheng ;
Zhong, Fusheng .
FUTURE INTERNET, 2020, 12 (12) :1-15
[50]   Car-following model of connected and autonomous vehicles considering both average headway and electronic throttle angle [J].
Chen, Liang ;
Zhang, Yun ;
Li, Kun ;
Li, Qiaoru ;
Zheng, Qiang .
MODERN PHYSICS LETTERS B, 2021, 35 (15)