Energy consumption investigation for a new car-following model considering driver's memory and average speed of the vehicles

被引：14

作者：

Jin, Zhizhan ^{[1
,2
,3
]}

Yang, Zaili ^{[4
]}

Ge, Hongxia ^{[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] Liverpool John Moores Univ, Offshore & Marine Res Inst, Liverpool Logist, Liverpool L3 3AF, Merseyside, England

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2018年 / 506卷

基金：

中国国家自然科学基金;

关键词：

Traffic flow; Driver's memory; Average speed; Energy consumption; TDGL equation; TRAFFIC FLOW; BOUNDED RATIONALITY; JAMMING TRANSITION; NUMERICAL-SIMULATION; RELATIVE VELOCITY; DIFFERENCE MODEL; DRIVING BEHAVIOR; ON-RAMP; FEEDBACK; IMPACTS;

D O I：

10.1016/j.physa.2018.05.034

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

In this paper, a modified car-following model is proposed by taking into account the influence of the average speed effect of vehicles and driver's memory on traffic flow basing on two velocity difference model (TVDM). The stability conditions are obtained through the linear stability analysis. The time-dependent Ginzburg-Landau (TDGL) equation and the modified Korteweg-de Vries (mKdV) equation are derived in the unstable areas by means of nonlinear analysis, respectively. The TDGL and mKdV equations are constructed to describe the traffic behavior near the critical point. The evolution of traffic congestion and the corresponding energy consumption are discussed. The results from numerical simulations are consistent with the ones from theoretical analysis. It is found that the extended model can not only reduce energy consumption but also enhance the stability of traffic flow. (C) 2018 Elsevier B.V. All rights reserved.

引用

页码：1038 / 1049

页数：12

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