Feedback Gating Control for Network Based on Macroscopic Fundamental Diagram

Empirical data from Yokohama, Japan, showed that a macroscopic fundamental diagram (MFD) of urban traffic provides for different network regions a unimodal low-scatter relationship between network vehicle density and network space-mean flow. This provides new tools for network congestion control. Ba...

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Main Authors: YangBeibei Ji, Chao Mo, Wanjing Ma, Dabin Liao
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2016/3528952
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spelling doaj-86e09eb4185a495fb84e92af2b61cd262020-11-24T23:23:07ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472016-01-01201610.1155/2016/35289523528952Feedback Gating Control for Network Based on Macroscopic Fundamental DiagramYangBeibei Ji0Chao Mo1Wanjing Ma2Dabin Liao3School of Management, Shanghai University, 99 Shangda Road, Baoshan, Shanghai 200444, ChinaSchool of Management, Shanghai University, 99 Shangda Road, Baoshan, Shanghai 200444, ChinaThe Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, 4800 Cao’an Road, Shanghai 201804, ChinaWuhan Planning and Design Institute, Wuhan 430010, ChinaEmpirical data from Yokohama, Japan, showed that a macroscopic fundamental diagram (MFD) of urban traffic provides for different network regions a unimodal low-scatter relationship between network vehicle density and network space-mean flow. This provides new tools for network congestion control. Based on MFD, this paper proposed a feedback gating control policy which can be used to mitigate network congestion by adjusting signal timings of gating intersections. The objective of the feedback gating control model is to maximize the outflow and distribute the allowed inflows properly according to external demand and capacity of each gating intersection. An example network is used to test the performance of proposed feedback gating control model. Two types of background signalization types for the intersections within the test network, fixed-time and actuated control, are considered. The results of extensive simulation validate that the proposed feedback gating control model can get a Pareto improvement since the performance of both gating intersections and the whole network can be improved significantly especially under heavy demand situations. The inflows and outflows can be improved to a higher level, and the delay and queue length at all gating intersections are decreased dramatically.http://dx.doi.org/10.1155/2016/3528952
collection DOAJ
language English
format Article
sources DOAJ
author YangBeibei Ji
Chao Mo
Wanjing Ma
Dabin Liao
spellingShingle YangBeibei Ji
Chao Mo
Wanjing Ma
Dabin Liao
Feedback Gating Control for Network Based on Macroscopic Fundamental Diagram
Mathematical Problems in Engineering
author_facet YangBeibei Ji
Chao Mo
Wanjing Ma
Dabin Liao
author_sort YangBeibei Ji
title Feedback Gating Control for Network Based on Macroscopic Fundamental Diagram
title_short Feedback Gating Control for Network Based on Macroscopic Fundamental Diagram
title_full Feedback Gating Control for Network Based on Macroscopic Fundamental Diagram
title_fullStr Feedback Gating Control for Network Based on Macroscopic Fundamental Diagram
title_full_unstemmed Feedback Gating Control for Network Based on Macroscopic Fundamental Diagram
title_sort feedback gating control for network based on macroscopic fundamental diagram
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2016-01-01
description Empirical data from Yokohama, Japan, showed that a macroscopic fundamental diagram (MFD) of urban traffic provides for different network regions a unimodal low-scatter relationship between network vehicle density and network space-mean flow. This provides new tools for network congestion control. Based on MFD, this paper proposed a feedback gating control policy which can be used to mitigate network congestion by adjusting signal timings of gating intersections. The objective of the feedback gating control model is to maximize the outflow and distribute the allowed inflows properly according to external demand and capacity of each gating intersection. An example network is used to test the performance of proposed feedback gating control model. Two types of background signalization types for the intersections within the test network, fixed-time and actuated control, are considered. The results of extensive simulation validate that the proposed feedback gating control model can get a Pareto improvement since the performance of both gating intersections and the whole network can be improved significantly especially under heavy demand situations. The inflows and outflows can be improved to a higher level, and the delay and queue length at all gating intersections are decreased dramatically.
url http://dx.doi.org/10.1155/2016/3528952
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AT chaomo feedbackgatingcontrolfornetworkbasedonmacroscopicfundamentaldiagram
AT wanjingma feedbackgatingcontrolfornetworkbasedonmacroscopicfundamentaldiagram
AT dabinliao feedbackgatingcontrolfornetworkbasedonmacroscopicfundamentaldiagram
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