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

共 50 条

[31] A new car-following model considering the driver's dynamic reaction time and driving visual angle on the slope
Chen, Yujiao
Zhang, Futao
Qian, Yongsheng
Zeng, Junwei
Li, Xin
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2025, 663
[32] TDGL and mKdV equations for an extended car-following model with the consideration of driver's memory
Yongjiang-Wang
Han-Song
Rongjun-Cheng
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 515 : 440 - 449
[33] An improved car-following model considering headway changes with memory
Yu, Shaowei
Shi, Zhongke
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2015, 421 : 1 - 14
[34] A New Car-Following Model with Consideration of the Driver's Delay Driving Behaviour
Hu Jun-jun
Zhang Yu
INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS & STATISTICS, 2014, 52 (07): : 175 - 181
[35] An improved car-following model with two preceding cars' average speed
Yu, Shao-Wei
Shi, Zhong-Ke
INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2015, 26 (08):
[36] A new car-following model considering velocity anticipation
Tian Jun-Fang
Jia Bin
Li Xin-Gang
Gao Zi-You
CHINESE PHYSICS B, 2010, 19 (01)
[37] A new car-following model considering velocity anticipation
田钧方
贾斌
李新刚
高自友
Chinese Physics B, 2010, (01) : 197 - 203
[38] A new coupled map car-following model considering drivers' steady desired speed
Zhou Tong
Sun Di-Hua
Li Hua-Min
Liu Wei-Ning
CHINESE PHYSICS B, 2014, 23 (05)
[39] Car-following Model of Connected and Autonomous Vehicles Considering Multiple Feedbacks
Qin Y.-Y.
Wang H.
Ran B.
Wang, Hao (haowang@seu.edu.cn), 2018, Science Press (18): : 48 - 54
[40] A new coupled map car-following model considering drivers' steady desired speed
周桐
孙棣华
李华民
刘卫宁
Chinese Physics B, 2014, (05) : 45 - 49

← 1 2 3 4 5 →