Macroscopic flow characterization at T-junctions

被引：6

作者：

Khan, Daud ^{[1
]}

Khan, Zawar Hussain ^{[2
]}

Imran, Waheed ^{[3
]}

Khattak, Khurram Shehzad ^{[4
]}

Gulliver, Thomas Aaron ^{[5
]}

机构：

[1] Univ Engn & Technol, Natl Inst Urban Infrastruct Planning, Peshawar 25000, Pakistan

[2] Univ Engn & Technol, Dept Elect Engn, Peshawar 25000, Pakistan

[3] Univ Naples Federico II, Dept Civil Environm & Architecture Engn, Via Claudio 21, I-80125 Naples, Italy

[4] Univ Engn & Technol, Dept Comp Syst Engn, Peshawar 25000, Pakistan

[5] Univ Victoria, Dept Elect & Comp Engn, Victoria, BC, Canada

来源：

TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES | 2022年 / 14卷

关键词：

Lighthill-Whitham-Richards model; First order upwind scheme; CFL condition; Driver response; Junctions; TRAFFIC MODEL; WAVES;

D O I：

10.1016/j.trip.2022.100591

中图分类号：

U [交通运输];

学科分类号：

08 ; 0823 ;

摘要：

At T-junctions, a minor road meets a main road and merging vehicles from the minor road create traffic bottlenecks as significant interactions between vehicles occur. These interactions reduce road capacity resulting in congestion. The Lighthill-Whitham-Richards (LWR) model is widely employed to characterize traffic flow. However, this model only considers small changes in flow which can be inadequate for T-junctions. Thus, a new model is proposed which is based on driver response during transitions at these junctions. The proposed and LWR models are evaluated using the first order upwind scheme (FOUS). The Courant-Friedrich-Lewy (CFL) condition is employed to ensure model stability. Results are presented which show that the proposed model better characterizes traffic flow at T-junctions.

引用

页数：8

共 50 条

[31] Microscopic and macroscopic models for coupled car traffic and pedestrian flow [J].

Borsche, R. ;

Meurer, A. .

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2019, 348 :356-382

[32] MICROSCOPIC AND MACROSCOPIC TRAFFIC FLOW MODELS INCLUDING RANDOM ACCIDENTS [J].

Goettlich, Simone ;

Schillinger, Thomas .

COMMUNICATIONS IN MATHEMATICAL SCIENCES, 2021, 19 (06) :1579-1609

[33] DEVELOPMENT AND CHARACTERIZATION OF POLYPYRROLE METAL JUNCTIONS FOR ELECTRONIC APPLICATIONS [J].

UNSWORTH, J ;

JIN, ZS ;

LUNN, BA ;

INNIS, PC .

POLYMER INTERNATIONAL, 1991, 26 (04) :245-249

[34] The junctions that don't fit the scheme: special symmetrical cell-cell junctions of their own kind [J].

Franke, Werner W. ;

Rickelt, Steffen ;

Barth, Mareike ;

Pieperhoff, Sebastian .

CELL AND TISSUE RESEARCH, 2009, 338 (01) :1-17

[35] The junctions that don’t fit the scheme: special symmetrical cell-cell junctions of their own kind [J].

Werner W. Franke ;

Steffen Rickelt ;

Mareike Barth ;

Sebastian Pieperhoff .

Cell and Tissue Research, 2009, 338 :1-17

[36] Data-driven uncertainty quantification in macroscopic traffic flow models [J].

Wuerth, Alexandra ;

Binois, Mickael ;

Goatin, Paola ;

Goettlich, Simone .

ADVANCES IN COMPUTATIONAL MATHEMATICS, 2022, 48 (06)

[37] Validation of calibration strategies for macroscopic traffic flow models on synthetic data [J].

Wurth, Alexandra ;

Binois, Mickael ;

Goatin, Paola .

2023 8TH INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS, MT-ITS, 2023,

[38] An iterative learning identification strategy for nonlinear macroscopic traffic flow model [J].

Yan, Fei ;

Qiu, Jiangchen ;

Tian, Jianyan .

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2022, 604

[39] A Lagrangian State-Space Representation of a Macroscopic Traffic Flow Model [J].

Tchrakian, Tigran T. ;

Verscheure, Olivier .

2011 14TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2011, :632-637

[40] HETEROGENEOUS TRAFFIC FLOW MODELING USING MACROSCOPIC MODEL: A PRACTICAL APPROACH [J].

Rahul, T. M. ;

Mallikarjuna, C. .

TRANSPORT DYNAMICS, 2011, :3-10

← 1 2 3 4 5 →