Junction-based Model Predictive Control for urban traffic light control

Yu Wang; Danwei Wang; Bin Xu; Tichakorn Wongpiromsarn

doi:10.1109/ICCVE.2013.6799769

Junction-based Model Predictive Control for urban traffic light control

Yu Wang
, Danwei Wang
, Bin Xu
, Tichakorn Wongpiromsarn

School of Automation

Nanyang Technological University
Ministry of Higher Education, Science, Research and Innovation

Research output: Contribution to conference › Paper › peer-review

7 Scopus citations

Abstract

This article studies Junction-based Model Predictive Control (JMPC) in urban traffic light control. The entire traffic system is decomposed into junction-based subsystems with their own MPC controllers based on a frequently and regularly initialized difference equation (FRIDE). These MPC controllers consider the control effects on adjacent subsystems and inputs effects from adjacent subsystems, which work cooperatively towards system-wide control objectives. The simulation results show that JMPC works much better than some bench-marking strategies. Besides, JMPC is scalable to larger network because of its distributed nature and makes it possible to deal with the complex urban networks.

Original language	English
Pages	54-59
Number of pages	6
DOIs	https://doi.org/10.1109/ICCVE.2013.6799769
State	Published - 2013
Event	2013 2nd IEEE International Conference on Connected Vehicles and Expo, ICCVE 2013 - Las Vegas, NV, United States Duration: 2 Dec 2013 → 6 Dec 2013

Conference

Conference	2013 2nd IEEE International Conference on Connected Vehicles and Expo, ICCVE 2013
Country/Territory	United States
City	Las Vegas, NV
Period	2/12/13 → 6/12/13

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10.1109/ICCVE.2013.6799769

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title = "Junction-based Model Predictive Control for urban traffic light control",

abstract = "This article studies Junction-based Model Predictive Control (JMPC) in urban traffic light control. The entire traffic system is decomposed into junction-based subsystems with their own MPC controllers based on a frequently and regularly initialized difference equation (FRIDE). These MPC controllers consider the control effects on adjacent subsystems and inputs effects from adjacent subsystems, which work cooperatively towards system-wide control objectives. The simulation results show that JMPC works much better than some bench-marking strategies. Besides, JMPC is scalable to larger network because of its distributed nature and makes it possible to deal with the complex urban networks.",

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doi = "10.1109/ICCVE.2013.6799769",

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AU - Wang, Yu

AU - Wang, Danwei

AU - Xu, Bin

AU - Wongpiromsarn, Tichakorn

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AB - This article studies Junction-based Model Predictive Control (JMPC) in urban traffic light control. The entire traffic system is decomposed into junction-based subsystems with their own MPC controllers based on a frequently and regularly initialized difference equation (FRIDE). These MPC controllers consider the control effects on adjacent subsystems and inputs effects from adjacent subsystems, which work cooperatively towards system-wide control objectives. The simulation results show that JMPC works much better than some bench-marking strategies. Besides, JMPC is scalable to larger network because of its distributed nature and makes it possible to deal with the complex urban networks.

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DO - 10.1109/ICCVE.2013.6799769

M3 - 论文

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T2 - 2013 2nd IEEE International Conference on Connected Vehicles and Expo, ICCVE 2013

Y2 - 2 December 2013 through 6 December 2013

ER -

Junction-based Model Predictive Control for urban traffic light control

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