Globalized modeling and signal timing control for large-scale networked intersections

Hong Wang; Chieh Wang; Meixin Zhu; Wanshi Hong

doi:10.1145/3357492.3358635

Globalized modeling and signal timing control for large-scale networked intersections

Hong Wang, Chieh Wang, Meixin Zhu, Wanshi Hong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Traffic intersections are often the botlenecks of traffic systems. Given a traffic network, an optimal traffic signal control strategy can result in smooth traffic flow and thus reduce energy consumption and environmental impact at intersections. This study aims to develop a new multi-input and multi-output (MIMO) traffic signal control method that can improve network-wide traffic operations in terms of delay and energy consumption. In this context, a 35-intersection network of Bellevue, WA is used as the basis for the development of the algorithm, where modeling and intersection controls in a globalized seting are established using MIMO linear control theory and high matrix formulation. The proposed control method is evaluated in a microscopic traffic simulation environment, VISSIM. Simulation results show that the proposed method has much shorter average travel delays in the network when compared with the delays of conventional pretimed and actuated controls.

Original language	English
Title of host publication	Proceedings of the 2nd ACM/EIGSCC Symposium on Smart Cities and Communities, SCC 2019
Publisher	Association for Computing Machinery, Inc
ISBN (Electronic)	9781450369787
DOIs	https://doi.org/10.1145/3357492.3358635
State	Published - Sep 10 2019
Event	2nd ACM/EIGSCC Symposium on Smart Cities and Communities, SCC 2019 - Portland, United States Duration: Sep 10 2019 → Sep 12 2019

Publication series

Name	Proceedings of the 2nd ACM/EIGSCC Symposium on Smart Cities and Communities, SCC 2019

Conference

Conference	2nd ACM/EIGSCC Symposium on Smart Cities and Communities, SCC 2019
Country/Territory	United States
City	Portland
Period	09/10/19 → 09/12/19

Funding

This research is part of the Systems and Modeling for Accelerated Research in Transportation (SMART) Mobility Consortium funded by the Energy Efficient Mobility System (EEMS) program of the Vehicle Technologies Office (VTO) of the This research is part of the Systems and Modeling for Accelerated Research in Transportation (SMART) Mobility Consortium funded by the Energy Efficient Mobility System (EEMS) program of the Vehicle Technologies Office (VTO) of the Department of Energy. The authors would like to thank the input they received from the VTO office.

Funders	Funder number
Energy Efficient Mobility System
U.S. Department of Energy
Vehicle Technologies Office
Office of Sex Offender Sentencing, Monitoring, Apprehending, Registering, and Tracking

Keywords

High matrix
Linearized modeling
MIMO controls
Networked traffic flows
Traffic signal control

Access to Document

10.1145/3357492.3358635

Cite this

Wang, H., Wang, C., Zhu, M., & Hong, W. (2019). Globalized modeling and signal timing control for large-scale networked intersections. In Proceedings of the 2nd ACM/EIGSCC Symposium on Smart Cities and Communities, SCC 2019 Article a12 (Proceedings of the 2nd ACM/EIGSCC Symposium on Smart Cities and Communities, SCC 2019). Association for Computing Machinery, Inc. https://doi.org/10.1145/3357492.3358635

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title = "Globalized modeling and signal timing control for large-scale networked intersections",

abstract = "Traffic intersections are often the botlenecks of traffic systems. Given a traffic network, an optimal traffic signal control strategy can result in smooth traffic flow and thus reduce energy consumption and environmental impact at intersections. This study aims to develop a new multi-input and multi-output (MIMO) traffic signal control method that can improve network-wide traffic operations in terms of delay and energy consumption. In this context, a 35-intersection network of Bellevue, WA is used as the basis for the development of the algorithm, where modeling and intersection controls in a globalized seting are established using MIMO linear control theory and high matrix formulation. The proposed control method is evaluated in a microscopic traffic simulation environment, VISSIM. Simulation results show that the proposed method has much shorter average travel delays in the network when compared with the delays of conventional pretimed and actuated controls.",

keywords = "High matrix, Linearized modeling, MIMO controls, Networked traffic flows, Traffic signal control",

author = "Hong Wang and Chieh Wang and Meixin Zhu and Wanshi Hong",

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Wang, H, Wang, C, Zhu, M & Hong, W 2019, Globalized modeling and signal timing control for large-scale networked intersections. in Proceedings of the 2nd ACM/EIGSCC Symposium on Smart Cities and Communities, SCC 2019., a12, Proceedings of the 2nd ACM/EIGSCC Symposium on Smart Cities and Communities, SCC 2019, Association for Computing Machinery, Inc, 2nd ACM/EIGSCC Symposium on Smart Cities and Communities, SCC 2019, Portland, United States, 09/10/19. https://doi.org/10.1145/3357492.3358635

Globalized modeling and signal timing control for large-scale networked intersections. / Wang, Hong; Wang, Chieh; Zhu, Meixin et al.
Proceedings of the 2nd ACM/EIGSCC Symposium on Smart Cities and Communities, SCC 2019. Association for Computing Machinery, Inc, 2019. a12 (Proceedings of the 2nd ACM/EIGSCC Symposium on Smart Cities and Communities, SCC 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Traffic intersections are often the botlenecks of traffic systems. Given a traffic network, an optimal traffic signal control strategy can result in smooth traffic flow and thus reduce energy consumption and environmental impact at intersections. This study aims to develop a new multi-input and multi-output (MIMO) traffic signal control method that can improve network-wide traffic operations in terms of delay and energy consumption. In this context, a 35-intersection network of Bellevue, WA is used as the basis for the development of the algorithm, where modeling and intersection controls in a globalized seting are established using MIMO linear control theory and high matrix formulation. The proposed control method is evaluated in a microscopic traffic simulation environment, VISSIM. Simulation results show that the proposed method has much shorter average travel delays in the network when compared with the delays of conventional pretimed and actuated controls.

AB - Traffic intersections are often the botlenecks of traffic systems. Given a traffic network, an optimal traffic signal control strategy can result in smooth traffic flow and thus reduce energy consumption and environmental impact at intersections. This study aims to develop a new multi-input and multi-output (MIMO) traffic signal control method that can improve network-wide traffic operations in terms of delay and energy consumption. In this context, a 35-intersection network of Bellevue, WA is used as the basis for the development of the algorithm, where modeling and intersection controls in a globalized seting are established using MIMO linear control theory and high matrix formulation. The proposed control method is evaluated in a microscopic traffic simulation environment, VISSIM. Simulation results show that the proposed method has much shorter average travel delays in the network when compared with the delays of conventional pretimed and actuated controls.

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Wang H, Wang C, Zhu M, Hong W. Globalized modeling and signal timing control for large-scale networked intersections. In Proceedings of the 2nd ACM/EIGSCC Symposium on Smart Cities and Communities, SCC 2019. Association for Computing Machinery, Inc. 2019. a12. (Proceedings of the 2nd ACM/EIGSCC Symposium on Smart Cities and Communities, SCC 2019). doi: 10.1145/3357492.3358635

Globalized modeling and signal timing control for large-scale networked intersections

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Keywords

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