A Data-Driven Control Strategy for Urban Express Ramp

Expressway, as the main artery of urban traffic, realizes the smooth operation of the whole urban road network through reasonably balancing the traffic flow. However, due to the lack of reasonable and effective traffic control, the safety and congestion of expressways are becoming more and more seri...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Liyan Zhang, Min Zhang, Jian Ma, Jing Ge
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/3d551a3272df41d89410ed3387481ed4
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:3d551a3272df41d89410ed3387481ed4
record_format	dspace
spelling	oai:doaj.org-article:3d551a3272df41d89410ed3387481ed42021-11-29T00:57:12ZA Data-Driven Control Strategy for Urban Express Ramp1687-527310.1155/2021/6540972https://doaj.org/article/3d551a3272df41d89410ed3387481ed42021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6540972https://doaj.org/toc/1687-5273Expressway, as the main artery of urban traffic, realizes the smooth operation of the whole urban road network through reasonably balancing the traffic flow. However, due to the lack of reasonable and effective traffic control, the safety and congestion of expressways are becoming more and more serious. The development of intelligent network technology provides a new idea to solve the control problem of expressways. In this paper, a data-driven ramp control model of urban expressway is constructed. The interaction of traffic information is realized through intelligent network connection technology. The cooperative control strategy of VSL and RM is adopted. The mutual feedback of VSL and RM is realized based on the improved METANET model. The simulation experiment based on VISSIM secondary development shows that the collaborative control strategy under the intelligent network environment could make the vehicle travel time reduced by 20.59% and the speed difference between adjacent sections of the expressway mainline by 34.07%, which realized the coordinated control of the mainline and the on-ramp under the intelligent network environment, alleviate the expressway traffic congestion, reduce the traffic pressure, and improve the efficiency of the road network.Liyan ZhangMin ZhangJian MaJing GeHindawi LimitedarticleComputer applications to medicine. Medical informaticsR858-859.7Neurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENComputational Intelligence and Neuroscience, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Liyan Zhang Min Zhang Jian Ma Jing Ge A Data-Driven Control Strategy for Urban Express Ramp
description	Expressway, as the main artery of urban traffic, realizes the smooth operation of the whole urban road network through reasonably balancing the traffic flow. However, due to the lack of reasonable and effective traffic control, the safety and congestion of expressways are becoming more and more serious. The development of intelligent network technology provides a new idea to solve the control problem of expressways. In this paper, a data-driven ramp control model of urban expressway is constructed. The interaction of traffic information is realized through intelligent network connection technology. The cooperative control strategy of VSL and RM is adopted. The mutual feedback of VSL and RM is realized based on the improved METANET model. The simulation experiment based on VISSIM secondary development shows that the collaborative control strategy under the intelligent network environment could make the vehicle travel time reduced by 20.59% and the speed difference between adjacent sections of the expressway mainline by 34.07%, which realized the coordinated control of the mainline and the on-ramp under the intelligent network environment, alleviate the expressway traffic congestion, reduce the traffic pressure, and improve the efficiency of the road network.
format	article
author	Liyan Zhang Min Zhang Jian Ma Jing Ge
author_facet	Liyan Zhang Min Zhang Jian Ma Jing Ge
author_sort	Liyan Zhang
title	A Data-Driven Control Strategy for Urban Express Ramp
title_short	A Data-Driven Control Strategy for Urban Express Ramp
title_full	A Data-Driven Control Strategy for Urban Express Ramp
title_fullStr	A Data-Driven Control Strategy for Urban Express Ramp
title_full_unstemmed	A Data-Driven Control Strategy for Urban Express Ramp
title_sort	data-driven control strategy for urban express ramp
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/3d551a3272df41d89410ed3387481ed4
work_keys_str_mv	AT liyanzhang adatadrivencontrolstrategyforurbanexpressramp AT minzhang adatadrivencontrolstrategyforurbanexpressramp AT jianma adatadrivencontrolstrategyforurbanexpressramp AT jingge adatadrivencontrolstrategyforurbanexpressramp AT liyanzhang datadrivencontrolstrategyforurbanexpressramp AT minzhang datadrivencontrolstrategyforurbanexpressramp AT jianma datadrivencontrolstrategyforurbanexpressramp AT jingge datadrivencontrolstrategyforurbanexpressramp
_version_	1718407638477176832

A Data-Driven Control Strategy for Urban Express Ramp

Ejemplares similares