A macro traffic flow model accounting for real-time traffic state

Tie Qiao Tang; Liang Chen; Yong Hong Wu; Lou Caccetta

doi:10.1016/j.physa.2015.05.054

A macro traffic flow model accounting for real-time traffic state

Tie Qiao Tang^*
, Liang Chen
, Yong Hong Wu
, Lou Caccetta

^*Corresponding author for this work

Curtin University

Research output: Contribution to journal › Article › peer-review

42 Scopus citations

Abstract

Abstract In this paper, we propose a traffic flow model to study the effects of the real-time traffic state on traffic flow. The numerical results show that the proposed model can describe oscillation in traffic and stop-and-go traffic, where the speed-density relationship is qualitatively accordant with the empirical data of the Weizikeng segment of the Badaling freeway in Beijing, which means that the proposed model can qualitatively reproduce some complex traffic phenomena associated with real-time traffic state.

Original language	English
Article number	16169
Pages (from-to)	55-67
Number of pages	13
Journal	Physica A: Statistical Mechanics and its Applications
Volume	437
DOIs	https://doi.org/10.1016/j.physa.2015.05.054
State	Published - 13 Jun 2015

Keywords

Real-time traffic state
Small perturbation
Traffic flow
Uniform flow

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10.1016/j.physa.2015.05.054

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title = "A macro traffic flow model accounting for real-time traffic state",

abstract = "Abstract In this paper, we propose a traffic flow model to study the effects of the real-time traffic state on traffic flow. The numerical results show that the proposed model can describe oscillation in traffic and stop-and-go traffic, where the speed-density relationship is qualitatively accordant with the empirical data of the Weizikeng segment of the Badaling freeway in Beijing, which means that the proposed model can qualitatively reproduce some complex traffic phenomena associated with real-time traffic state.",

keywords = "Real-time traffic state, Small perturbation, Traffic flow, Uniform flow",

author = "Tang, \{Tie Qiao\} and Liang Chen and Wu, \{Yong Hong\} and Lou Caccetta",

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AU - Tang, Tie Qiao

AU - Chen, Liang

AU - Wu, Yong Hong

AU - Caccetta, Lou

PY - 2015/6/13

Y1 - 2015/6/13

N2 - Abstract In this paper, we propose a traffic flow model to study the effects of the real-time traffic state on traffic flow. The numerical results show that the proposed model can describe oscillation in traffic and stop-and-go traffic, where the speed-density relationship is qualitatively accordant with the empirical data of the Weizikeng segment of the Badaling freeway in Beijing, which means that the proposed model can qualitatively reproduce some complex traffic phenomena associated with real-time traffic state.

AB - Abstract In this paper, we propose a traffic flow model to study the effects of the real-time traffic state on traffic flow. The numerical results show that the proposed model can describe oscillation in traffic and stop-and-go traffic, where the speed-density relationship is qualitatively accordant with the empirical data of the Weizikeng segment of the Badaling freeway in Beijing, which means that the proposed model can qualitatively reproduce some complex traffic phenomena associated with real-time traffic state.

KW - Real-time traffic state

KW - Small perturbation

KW - Traffic flow

KW - Uniform flow

UR - https://www.scopus.com/pages/publications/84930948654

U2 - 10.1016/j.physa.2015.05.054

DO - 10.1016/j.physa.2015.05.054

M3 - 文章

AN - SCOPUS:84930948654

SN - 0378-4371

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EP - 67

JO - Physica A: Statistical Mechanics and its Applications

JF - Physica A: Statistical Mechanics and its Applications

M1 - 16169

ER -

A macro traffic flow model accounting for real-time traffic state

Abstract

Keywords

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