Dynamic Model for estimating the Macroscopic Fundamental Diagram

被引：6

作者：

Hoai-Nam Nguyen ^{[1
]}

Fishbain, Barak ^{[2
]}

Bitar, Eilyan ^{[3
]}

Mahalel, David ^{[4
]}

Gutman, Per-Olof ^{[4
]}

机构：

[1] IFP Energies Nouvelles, Rond Point Echangeur Solaize, BP 3, F-69360 Solaize, France

[2] Technion Israel Inst Technol, Fac Civil & Environm Engn, IL-32000 Haifa, Israel

[3] Cornell Univ, Dept Elect & Comp Engn, Ithaca, NY USA

[4] Technion Israel Inst Technol, Fac Civil & Environm Engn, IL-32000 Haifa, Israel

来源：

IFAC PAPERSONLINE | 2016年 / 49卷 / 03期

关键词：

Macroscopic Fundamental Diagram (MFD); Traffic Network State; Dynamic Estimation; Traffic Control; Kalman-Filter; CELL TRANSMISSION MODEL; DENSITIES; WAVES;

D O I：

10.1016/j.ifacol.2016.07.050

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Macroscopic Fundamental Diagram (MFD) relates the number of circulating vehicles (or accumulation) to a neighbourhoods average speed or flow. In theory the MFD has a well-defined maximum which remains invariant over time. Recent studies, however, suggest that in practice this is not the case, and the MFD does present a variations over time. These variations in the MFD render traffic simulations, modelling and control schemes inaccurate, as these tools do not capture the dynamic nature of the MFD. This paper presents a dynamic model for estimating the MFD, so it does capture the MFDs time varying nature. A mathematical Kalman-filter based framework for solving the model and estimating the MFD are also presented. The application of the method on a small scale example shows the potential of the method. (C) 2016, IFAC (International Federation of Antomatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：297 / 302

页数：6

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