Modified two-fluid model of traffic flow

被引:3
作者
Gore, Ninad [1 ,2 ]
Arkatkar, Shriniwas [1 ]
Joshi, Gaurang [1 ]
Easa, Said [2 ]
机构
[1] Sardar Vallabhbhai Natl Inst Technol, Dept Civil Engn, Surat, India
[2] Toronto Metropolitan Univ, Ryerson Univ, Civil Engn Dept, Toronto, ON, Canada
来源
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH | 2024年 / 16卷 / 03期
关键词
Two-fluid model; travel time uncertainty; modified two-fluid model; FUNDAMENTAL DIAGRAM; DENSITY; IMPACT; APPROXIMATION; CALIBRATION; VALIDATION; EXISTENCE; QUALITY;
D O I
10.1080/19427867.2023.2177793
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Researchers widely use the two-fluid model (TFM) to evaluate the performance of urban networks. However, the TFM is deterministic and does not capture the stochastic relation between speed and density. The present study develops a modified two-fluid model (MTFM). The variance function or the distribution of speed or travel time for a given density is incorporated using a percentile-based indicator, travel time uncertainty (TTU). The percentile-based indicators for the speed distribution are more robust than the variance or other moment-based indicators. The effect of TTU is incorporated using two parameters, alpha; and beta. The applicability of the proposed MTFM is demonstrated using empirical data collected at the corridor and network levels. The TFM and MTFM were calibrated by formulating a nonlinear optimization problem. Based on the investigation using the corridor and network-level data, it was concluded that the MTFM showed better performance than the existing model. .
引用
收藏
页码:263 / 278
页数:16
相关论文
共 78 条
[1]  
Ambuhl L., 2017, PRESENTED 96 ANN M T
[2]   A functional form with a physical meaning for the macroscopic fundamental diagram [J].
Ambuhl, Lukas ;
Loder, Allister ;
Bliemer, Michiel C. J. ;
Menendez, Monica ;
Axhausen, Kay W. .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2020, 137 :119-132
[3]   An observational study of the network-level traffic variables [J].
Amini, B ;
Shahi, J ;
Ardekani, SA .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 1998, 32 (04) :271-278
[4]  
Ardekani S. A., 1984, THESIS U TEXAS AUSTI
[5]   Calibration of stochastic link-based fundamental diagram with explicit consideration of speed heterogeneity [J].
Bai, Lu ;
Wong, S. C. ;
Xu, Pengpeng ;
Chow, Andy H. F. ;
Lam, William H. K. .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2021, 150 :524-539
[6]   Identification and characterizing of the prevailing paths on a urban network for MFD-based applications [J].
Batista, S. F. A. ;
Seppecher, Manon ;
Leclercq, Ludovic .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2021, 127
[7]   Influence of Vertical Sensor Placement on Data Collection Efficiency from Bluetooth MAC Address Collection Devices [J].
Brennan, Thomas M., Jr. ;
Ernst, Joseph M. ;
Day, Christopher M. ;
Bullock, Darcy M. ;
Krogmeier, James V. ;
Martchouk, Mary .
JOURNAL OF TRANSPORTATION ENGINEERING, 2010, 136 (12) :1104-1109
[8]   Exploring the Impact of Homogeneity of Traffic Measurements on the Existence of Macroscopic Fundamental Diagrams [J].
Buisson, Christine ;
Ladier, Cyril .
TRANSPORTATION RESEARCH RECORD, 2009, (2124) :127-136
[9]   Characterising scattering features in flow-density plots using a stochastic platoon model [J].
Chen, Xiqun ;
Li, Zhiheng ;
Li, Li ;
Shi, Qixin .
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2014, 10 (09) :820-848