Dynamic Traffic Assignment Model Based on GPS Data and Point of Interest (POI) in Shanghai

Dynamic traffic flow, which can facilitate the efficient operation of traffic road networks, is an important prerequisite for the application of reasonable assignment of traffic demands in an urban road network. In order to improve the accuracy of dynamic traffic flow assignment, this paper proposes...

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Autores principales:	Xueying Song, Zheng Yang, Tao Wang, Chaoyang Li, Yi Zhang, Ganyu Chen
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	point of interest dynamic traffic assignment GPS peak hours traffic congestion Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/a62b0f79a3614914a89fe0ab7f512e1a
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spelling	oai:doaj.org-article:a62b0f79a3614914a89fe0ab7f512e1a2021-11-11T19:17:11ZDynamic Traffic Assignment Model Based on GPS Data and Point of Interest (POI) in Shanghai10.3390/s212173411424-8220https://doaj.org/article/a62b0f79a3614914a89fe0ab7f512e1a2021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7341https://doaj.org/toc/1424-8220Dynamic traffic flow, which can facilitate the efficient operation of traffic road networks, is an important prerequisite for the application of reasonable assignment of traffic demands in an urban road network. In order to improve the accuracy of dynamic traffic flow assignment, this paper proposes a dynamic traffic flow assignment model based on GPS trajectory data and the influence of POI. First, this paper explores the impact patterns of POI on regional road network congestion during peak hours through qualitative and quantitative analysis. Then, based on the user equilibrium theory, a dynamic traffic flow assignment model, in which the effect of POI on links is reflected using the link-node impedance function, is proposed. Finally, the accuracy of the model is validated by the GPS trajectory data and origin–destination (OD) traffic data of motor vehicles in Xuhui District, Shanghai, China. The results show that the model can be used to coordinate and optimize the traffic assignment of the regional road network under the influence of POI during peak hours and alleviate the congestion of the road network. The findings can provide a powerful reference for developing scientific and rational traffic assignment decisions and management strategies for urban road network traffic.Xueying SongZheng YangTao WangChaoyang LiYi ZhangGanyu ChenMDPI AGarticlepoint of interestdynamic traffic assignmentGPSpeak hourstraffic congestionChemical technologyTP1-1185ENSensors, Vol 21, Iss 7341, p 7341 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	point of interest dynamic traffic assignment GPS peak hours traffic congestion Chemical technology TP1-1185
spellingShingle	point of interest dynamic traffic assignment GPS peak hours traffic congestion Chemical technology TP1-1185 Xueying Song Zheng Yang Tao Wang Chaoyang Li Yi Zhang Ganyu Chen Dynamic Traffic Assignment Model Based on GPS Data and Point of Interest (POI) in Shanghai
description	Dynamic traffic flow, which can facilitate the efficient operation of traffic road networks, is an important prerequisite for the application of reasonable assignment of traffic demands in an urban road network. In order to improve the accuracy of dynamic traffic flow assignment, this paper proposes a dynamic traffic flow assignment model based on GPS trajectory data and the influence of POI. First, this paper explores the impact patterns of POI on regional road network congestion during peak hours through qualitative and quantitative analysis. Then, based on the user equilibrium theory, a dynamic traffic flow assignment model, in which the effect of POI on links is reflected using the link-node impedance function, is proposed. Finally, the accuracy of the model is validated by the GPS trajectory data and origin–destination (OD) traffic data of motor vehicles in Xuhui District, Shanghai, China. The results show that the model can be used to coordinate and optimize the traffic assignment of the regional road network under the influence of POI during peak hours and alleviate the congestion of the road network. The findings can provide a powerful reference for developing scientific and rational traffic assignment decisions and management strategies for urban road network traffic.
format	article
author	Xueying Song Zheng Yang Tao Wang Chaoyang Li Yi Zhang Ganyu Chen
author_facet	Xueying Song Zheng Yang Tao Wang Chaoyang Li Yi Zhang Ganyu Chen
author_sort	Xueying Song
title	Dynamic Traffic Assignment Model Based on GPS Data and Point of Interest (POI) in Shanghai
title_short	Dynamic Traffic Assignment Model Based on GPS Data and Point of Interest (POI) in Shanghai
title_full	Dynamic Traffic Assignment Model Based on GPS Data and Point of Interest (POI) in Shanghai
title_fullStr	Dynamic Traffic Assignment Model Based on GPS Data and Point of Interest (POI) in Shanghai
title_full_unstemmed	Dynamic Traffic Assignment Model Based on GPS Data and Point of Interest (POI) in Shanghai
title_sort	dynamic traffic assignment model based on gps data and point of interest (poi) in shanghai
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/a62b0f79a3614914a89fe0ab7f512e1a
work_keys_str_mv	AT xueyingsong dynamictrafficassignmentmodelbasedongpsdataandpointofinterestpoiinshanghai AT zhengyang dynamictrafficassignmentmodelbasedongpsdataandpointofinterestpoiinshanghai AT taowang dynamictrafficassignmentmodelbasedongpsdataandpointofinterestpoiinshanghai AT chaoyangli dynamictrafficassignmentmodelbasedongpsdataandpointofinterestpoiinshanghai AT yizhang dynamictrafficassignmentmodelbasedongpsdataandpointofinterestpoiinshanghai AT ganyuchen dynamictrafficassignmentmodelbasedongpsdataandpointofinterestpoiinshanghai
_version_	1718431602412879872

Dynamic Traffic Assignment Model Based on GPS Data and Point of Interest (POI) in Shanghai

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