Analysis string stability of a new car-following model considering response time

Junjie Zhang; Yunpeng Wang; Guangquan Lu; Wenmin Long

doi:10.1109/COASE.2017.8256210

Analysis string stability of a new car-following model considering response time

Junjie Zhang
, Yunpeng Wang
, Guangquan Lu^*
, Wenmin Long

^*Corresponding author for this work

School of Transportation Science and Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

This study investigates the influence of the response time on the dynamics of a desired safety margin (DSM) car-following model, where the response time plays an important role in determining the qualitative dynamical of vehicles in car-following process. The stability criterion of the DSM car-following model is obtained by the linear system stability theory. Numerical simulations are in good agreement with the analytical results, which reveals that the response time would significantly influence the stability of traffic flow on a straight road. The numerical results also indicate that intelligent driving can help to reduce traffic congestion because the unstable flow can be stabilized by adopting the response time.

Original language	English
Title of host publication	2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017
Publisher	IEEE Computer Society
Pages	853-857
Number of pages	5
ISBN (Electronic)	9781509067800
DOIs	https://doi.org/10.1109/COASE.2017.8256210
State	Published - 1 Jul 2017
Event	13th IEEE Conference on Automation Science and Engineering, CASE 2017 - Xi'an, China Duration: 20 Aug 2017 → 23 Aug 2017

Publication series

Name	IEEE International Conference on Automation Science and Engineering
Volume	2017-August
ISSN (Print)	2161-8070
ISSN (Electronic)	2161-8089

Conference

Conference	13th IEEE Conference on Automation Science and Engineering, CASE 2017
Country/Territory	China
City	Xi'an
Period	20/08/17 → 23/08/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Safety margin
response time
sensitivity factor
stability analysis

Access to Document

10.1109/COASE.2017.8256210

Cite this

Zhang, J., Wang, Y., Lu, G., & Long, W. (2017). Analysis string stability of a new car-following model considering response time. In 2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017 (pp. 853-857). (IEEE International Conference on Automation Science and Engineering; Vol. 2017-August). IEEE Computer Society. https://doi.org/10.1109/COASE.2017.8256210

@inproceedings{416f1606927f4766a0a1ac8034ee42d6,

title = "Analysis string stability of a new car-following model considering response time",

abstract = "This study investigates the influence of the response time on the dynamics of a desired safety margin (DSM) car-following model, where the response time plays an important role in determining the qualitative dynamical of vehicles in car-following process. The stability criterion of the DSM car-following model is obtained by the linear system stability theory. Numerical simulations are in good agreement with the analytical results, which reveals that the response time would significantly influence the stability of traffic flow on a straight road. The numerical results also indicate that intelligent driving can help to reduce traffic congestion because the unstable flow can be stabilized by adopting the response time.",

keywords = "Safety margin, response time, sensitivity factor, stability analysis",

author = "Junjie Zhang and Yunpeng Wang and Guangquan Lu and Wenmin Long",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 13th IEEE Conference on Automation Science and Engineering, CASE 2017 ; Conference date: 20-08-2017 Through 23-08-2017",

year = "2017",

month = jul,

day = "1",

doi = "10.1109/COASE.2017.8256210",

language = "英语",

series = "IEEE International Conference on Automation Science and Engineering",

publisher = "IEEE Computer Society",

pages = "853--857",

booktitle = "2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017",

address = "美国",

}

Zhang, J, Wang, Y , Lu, G & Long, W 2017, Analysis string stability of a new car-following model considering response time. in 2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017. IEEE International Conference on Automation Science and Engineering, vol. 2017-August, IEEE Computer Society, pp. 853-857, 13th IEEE Conference on Automation Science and Engineering, CASE 2017, Xi'an, China, 20/08/17. https://doi.org/10.1109/COASE.2017.8256210

Analysis string stability of a new car-following model considering response time. / Zhang, Junjie; Wang, Yunpeng ; Lu, Guangquan et al.
2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017. IEEE Computer Society, 2017. p. 853-857 (IEEE International Conference on Automation Science and Engineering; Vol. 2017-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Analysis string stability of a new car-following model considering response time

AU - Zhang, Junjie

AU - Wang, Yunpeng

AU - Lu, Guangquan

AU - Long, Wenmin

PY - 2017/7/1

Y1 - 2017/7/1

N2 - This study investigates the influence of the response time on the dynamics of a desired safety margin (DSM) car-following model, where the response time plays an important role in determining the qualitative dynamical of vehicles in car-following process. The stability criterion of the DSM car-following model is obtained by the linear system stability theory. Numerical simulations are in good agreement with the analytical results, which reveals that the response time would significantly influence the stability of traffic flow on a straight road. The numerical results also indicate that intelligent driving can help to reduce traffic congestion because the unstable flow can be stabilized by adopting the response time.

AB - This study investigates the influence of the response time on the dynamics of a desired safety margin (DSM) car-following model, where the response time plays an important role in determining the qualitative dynamical of vehicles in car-following process. The stability criterion of the DSM car-following model is obtained by the linear system stability theory. Numerical simulations are in good agreement with the analytical results, which reveals that the response time would significantly influence the stability of traffic flow on a straight road. The numerical results also indicate that intelligent driving can help to reduce traffic congestion because the unstable flow can be stabilized by adopting the response time.

KW - Safety margin

KW - response time

KW - sensitivity factor

KW - stability analysis

UR - https://www.scopus.com/pages/publications/85044935844

U2 - 10.1109/COASE.2017.8256210

DO - 10.1109/COASE.2017.8256210

M3 - 会议稿件

AN - SCOPUS:85044935844

T3 - IEEE International Conference on Automation Science and Engineering

SP - 853

EP - 857

BT - 2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017

PB - IEEE Computer Society

T2 - 13th IEEE Conference on Automation Science and Engineering, CASE 2017

Y2 - 20 August 2017 through 23 August 2017

ER -

Analysis string stability of a new car-following model considering response time

Abstract

Publication series

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UN SDGs

Keywords

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