An extended lattice hydrodynamic model considering the driver's sensory memory and delayed-feedback control

被引：40
作者：
Chang, Yinyin [1 ,2 ,3 ]
He, Zhiting [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, Subctr, Natl Traff Management Engn & Technol Res Ctr, Ningbo 315211, Zhejiang, Peoples R China
来源：
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2019年 / 514卷
基金：
中国国家自然科学基金;
关键词：
Traffic flow; Delayed-feedback control; Driver's sensory memory; Energy consumption; CAR-FOLLOWING MODEL; TRAFFIC FLOW MODEL; BIDIRECTIONAL PEDESTRIAN FLOW; CONTINUUM MODEL; BOUNDED RATIONALITY; JAMMING TRANSITION; FUEL CONSUMPTION; MKDV EQUATIONS; ANTICIPATION; DIFFERENCE;
D O I：
10.1016/j.physa.2018.09.097
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
In this paper, an extended lattice hydrodynamic model with consideration of the driver's sensory memory and delayed-feedback control is proposed. The control signal about the density difference of the vehicles ahead is taken into account. The control method is used to analyze the stability of the extended model, and the stability condition for the model is derived. Energy consumption is also taken into account in the extended model, which reflects the fuel consumption and emissions of each vehicle. The numerical simulations are explored to illustrate and clarify the results of theoretical analysis. The simulation results show that the driver's sensory memory can enhance the stability of traffic flow and reduce the energy consumption, while density difference weakens the stability of traffic flow and increases the energy consumption. Numerical results are consistent with the corresponding theoretical analysis. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码：522 / 532
页数：11
相关论文
共 61 条
[51]   An extended car-following model considering vehicular gap fluctuation [J].
Yu, Shaowei ;
Shi, Zhongke .
MEASUREMENT, 2015, 70 :137-147
[52]   Dynamics of connected cruise control systems considering velocity changes with memory feedback [J].
Yu, Shaowei ;
Shi, Zhongke .
MEASUREMENT, 2015, 64 :34-48
[53]   An extended continuum model considering optimal velocity change with memory and numerical tests [J].
Zhai Qingtao ;
Ge Hongxia ;
Cheng Rongjun .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 490 :774-785
[54]   An improved car-following model accounting for the preceding car's taillight [J].
Zhang, Jian ;
Tang, Tie-Qiao ;
Yu, Shao-Wei .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 492 :1831-1837
[55]   A control method for congested traffic induced by bottlenecks in the coupled map car-following model [J].
Zhao, XM ;
Gao, ZY .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2006, 366 (01) :513-522
[56]   A new lattice hydrodynamic model for bidirectional pedestrian flow with the consideration of pedestrian's anticipation effect [J].
Zhou, Jie ;
Shi, Zhong-Ke .
NONLINEAR DYNAMICS, 2015, 81 (03) :1247-1262
[57]   Analysis of mixed traffic flow with human-driving and autonomous cars based on car-following model [J].
Zhu, Wen-Xing ;
Zhang, H. M. .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 496 :274-285
[58]   A new car-following model for autonomous vehicles flow with mean expected velocity field [J].
Zhu Wen-Xing ;
Zhang Li-Dong .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 492 :2154-2165
[59]   A compound compensation method for car-following model [J].
Zhu, Wen-Xing ;
Jun, Du ;
Zhang, Li-Dong .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2016, 39 :427-441
[60]   Analysis of car-following model with cascade compensation strategy [J].
Zhu, Wen-Xing ;
Zhang, Li-Dong .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2016, 449 :265-274
1234567