A Coordination Algorithm for Signalized Multi-Intersection to Maximize Green Wave Band in V2X Network
The signal control system for multi-intersection traffic management is an extensive complex nonlinear and non-equilibrium system and usually leads to a weak control strategy. Existing studies of traffic dynamics mainly focus on the applications to the single network, whereas how the structure of mul...
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doaj-8562af099c2d487e8d3585f2b0aed9572021-03-30T03:51:57ZengIEEEIEEE Access2169-35362020-01-01821370621371710.1109/ACCESS.2020.30392639264154A Coordination Algorithm for Signalized Multi-Intersection to Maximize Green Wave Band in V2X NetworkYanjun Shi0Jiajian Li1https://orcid.org/0000-0002-8095-7253Qiaomei Han2https://orcid.org/0000-0002-7048-1562Lingling Lv3School of Mechanical Engineering, Dalian University of Technology, Dalian, ChinaSchool of Mechanical Engineering, Dalian University of Technology, Dalian, ChinaSchool of Electrical and Computing Engineering, Western University, London, ON, CanadaSchool of Mechanical Engineering, Dalian University of Technology, Dalian, ChinaThe signal control system for multi-intersection traffic management is an extensive complex nonlinear and non-equilibrium system and usually leads to a weak control strategy. Existing studies of traffic dynamics mainly focus on the applications to the single network, whereas how the structure of multiple intersections affects the dynamical behaviors is unclear. Connected vehicles in recent studies have shown the potential to eliminate traffic communication barriers and balance the traffic load. For this consideration, we propose a new multi-intersection model based on Vehicle-to-Everything (V2X) network to capture the features of traffic flow, which employs vehicular communication to obtain real-time traffic information and share it among the adjacent intersections. Focus on smoothing traffic flow without stop-and-go driving and improving the coordination of multiple traffic lights, we develop a multi-intersection coordination algorithm based on V2X (MICA-V for short) to maximize the green waveband in the arterial road. Due to the establishment of registration list yielding the average saturated headway time, our method is of high efficiency-the distributed process of data makes the convergence to be very fast with nearly linear time. Simulation results via MATLAB with Simulation of Urban Mobility (SUMO) showed the effectiveness of the proposed MICA-V in improving traffic capacity, reducing the number of stop behaviors, and improve the average speed of vehicles moving on the arterial road.https://ieeexplore.ieee.org/document/9264154/Multi-intersectiontraffic signal controlcoordinationvehicle-to-everything(V2X)SUMO |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yanjun Shi Jiajian Li Qiaomei Han Lingling Lv |
spellingShingle |
Yanjun Shi Jiajian Li Qiaomei Han Lingling Lv A Coordination Algorithm for Signalized Multi-Intersection to Maximize Green Wave Band in V2X Network IEEE Access Multi-intersection traffic signal control coordination vehicle-to-everything(V2X) SUMO |
author_facet |
Yanjun Shi Jiajian Li Qiaomei Han Lingling Lv |
author_sort |
Yanjun Shi |
title |
A Coordination Algorithm for Signalized Multi-Intersection to Maximize Green Wave Band in V2X Network |
title_short |
A Coordination Algorithm for Signalized Multi-Intersection to Maximize Green Wave Band in V2X Network |
title_full |
A Coordination Algorithm for Signalized Multi-Intersection to Maximize Green Wave Band in V2X Network |
title_fullStr |
A Coordination Algorithm for Signalized Multi-Intersection to Maximize Green Wave Band in V2X Network |
title_full_unstemmed |
A Coordination Algorithm for Signalized Multi-Intersection to Maximize Green Wave Band in V2X Network |
title_sort |
coordination algorithm for signalized multi-intersection to maximize green wave band in v2x network |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
The signal control system for multi-intersection traffic management is an extensive complex nonlinear and non-equilibrium system and usually leads to a weak control strategy. Existing studies of traffic dynamics mainly focus on the applications to the single network, whereas how the structure of multiple intersections affects the dynamical behaviors is unclear. Connected vehicles in recent studies have shown the potential to eliminate traffic communication barriers and balance the traffic load. For this consideration, we propose a new multi-intersection model based on Vehicle-to-Everything (V2X) network to capture the features of traffic flow, which employs vehicular communication to obtain real-time traffic information and share it among the adjacent intersections. Focus on smoothing traffic flow without stop-and-go driving and improving the coordination of multiple traffic lights, we develop a multi-intersection coordination algorithm based on V2X (MICA-V for short) to maximize the green waveband in the arterial road. Due to the establishment of registration list yielding the average saturated headway time, our method is of high efficiency-the distributed process of data makes the convergence to be very fast with nearly linear time. Simulation results via MATLAB with Simulation of Urban Mobility (SUMO) showed the effectiveness of the proposed MICA-V in improving traffic capacity, reducing the number of stop behaviors, and improve the average speed of vehicles moving on the arterial road. |
topic |
Multi-intersection traffic signal control coordination vehicle-to-everything(V2X) SUMO |
url |
https://ieeexplore.ieee.org/document/9264154/ |
work_keys_str_mv |
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