An extended car-following model considering driver's memory and average speed of preceding vehicles with control strategy

被引：73
作者：
Sun, Yuqing [1 ,2 ,3 ]
Ge, Hongxia [1 ,2 ,3 ]
Cheng, Rongjun [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, Natl Traff Management Engn & Technol Res Ctr, Subctr, Ningbo 315211, Zhejiang, Peoples R China
来源：
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2019年 / 521卷
基金：
中国国家自然科学基金;
关键词：
Car-following model; Driver's memory; Average speed; Control method; Energy consumption; LATTICE HYDRODYNAMIC MODEL; VELOCITY DIFFERENCE MODEL; DELAYED-FEEDBACK CONTROL; CONTINUUM MODEL; TRAFFIC FLOW; DYNAMICAL MODEL; ANTICIPATION; BOTTLENECKS; INFORMATION; STABILITY;
D O I：
10.1016/j.physa.2019.01.092
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
Considering effect of driver's memory and average speed effect of preceding vehicles, an extended car-following model is proposed in this paper. The control signal including the velocity difference between the considered vehicle's velocity and its preceding cars' average speed is considered. The stability conditions of the model are derived by control theory method. The extended model is also analyzed from the perspective of energy consumption. Numerical simulation results show that driver's memory has negative impact on stability of traffic flow and increases the energy consumption. However, the control signal can enhance the stability of traffic system and depress the energy consumption. (C) 2019 Published by Elsevier B.V.
引用
收藏
页码：752 / 761
页数：10
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