Analyzing the delays of target lane vehicles caused by vehicle lane-changing operation

Abstract Vehicle lane-changing on urban roads is the most common traffic behavior, in which the driver changes the direction or increases the speed of the vehicle by changing its trajectory. However, in high-density traffic flow, when a vehicle changes lanes, a series of vehicles following the targe...

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Autores principales:	Quantao Yang, Feng Lu, Jun Ma, Xuejun Niu, Jingsheng Wang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4a40c67bdf014ee697daa97d2aa6fa3f
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spelling	oai:doaj.org-article:4a40c67bdf014ee697daa97d2aa6fa3f2021-11-14T12:20:39ZAnalyzing the delays of target lane vehicles caused by vehicle lane-changing operation10.1038/s41598-021-00262-12045-2322https://doaj.org/article/4a40c67bdf014ee697daa97d2aa6fa3f2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-00262-1https://doaj.org/toc/2045-2322Abstract Vehicle lane-changing on urban roads is the most common traffic behavior, in which the driver changes the direction or increases the speed of the vehicle by changing its trajectory. However, in high-density traffic flow, when a vehicle changes lanes, a series of vehicles following the target vehicle in the target lane will be delayed. In this study, DJI Phantom 4 drones were used to vertically record the traffic on a road section. Tracker software was then used to extract vehicle information from the video taken by the drones, including the vehicle operating speeds, etc. SPSS 22 and Origin analysis software were then employed to analyze the correlations between different vehicle operating parameters. It was found that the operating speed of the first vehicle following the target vehicle in the target lane is related to the speeds and positions of both the target vehicle and the vehicle preceding it. Under the condition of high-density traffic flow, when the target vehicle is inserted into the target lane, the speed of the vehicles following the target vehicle in the target lane will change. To model this process, the corresponding Sine and DoseResp models were constructed. By calculating the delays of vehicles following the target vehicle in the target lane, it was concluded that the overall delay of the fleet is 3.9–9.5 s.Quantao YangFeng LuJun MaXuejun NiuJingsheng WangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Quantao Yang Feng Lu Jun Ma Xuejun Niu Jingsheng Wang Analyzing the delays of target lane vehicles caused by vehicle lane-changing operation
description	Abstract Vehicle lane-changing on urban roads is the most common traffic behavior, in which the driver changes the direction or increases the speed of the vehicle by changing its trajectory. However, in high-density traffic flow, when a vehicle changes lanes, a series of vehicles following the target vehicle in the target lane will be delayed. In this study, DJI Phantom 4 drones were used to vertically record the traffic on a road section. Tracker software was then used to extract vehicle information from the video taken by the drones, including the vehicle operating speeds, etc. SPSS 22 and Origin analysis software were then employed to analyze the correlations between different vehicle operating parameters. It was found that the operating speed of the first vehicle following the target vehicle in the target lane is related to the speeds and positions of both the target vehicle and the vehicle preceding it. Under the condition of high-density traffic flow, when the target vehicle is inserted into the target lane, the speed of the vehicles following the target vehicle in the target lane will change. To model this process, the corresponding Sine and DoseResp models were constructed. By calculating the delays of vehicles following the target vehicle in the target lane, it was concluded that the overall delay of the fleet is 3.9–9.5 s.
format	article
author	Quantao Yang Feng Lu Jun Ma Xuejun Niu Jingsheng Wang
author_facet	Quantao Yang Feng Lu Jun Ma Xuejun Niu Jingsheng Wang
author_sort	Quantao Yang
title	Analyzing the delays of target lane vehicles caused by vehicle lane-changing operation
title_short	Analyzing the delays of target lane vehicles caused by vehicle lane-changing operation
title_full	Analyzing the delays of target lane vehicles caused by vehicle lane-changing operation
title_fullStr	Analyzing the delays of target lane vehicles caused by vehicle lane-changing operation
title_full_unstemmed	Analyzing the delays of target lane vehicles caused by vehicle lane-changing operation
title_sort	analyzing the delays of target lane vehicles caused by vehicle lane-changing operation
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/4a40c67bdf014ee697daa97d2aa6fa3f
work_keys_str_mv	AT quantaoyang analyzingthedelaysoftargetlanevehiclescausedbyvehiclelanechangingoperation AT fenglu analyzingthedelaysoftargetlanevehiclescausedbyvehiclelanechangingoperation AT junma analyzingthedelaysoftargetlanevehiclescausedbyvehiclelanechangingoperation AT xuejunniu analyzingthedelaysoftargetlanevehiclescausedbyvehiclelanechangingoperation AT jingshengwang analyzingthedelaysoftargetlanevehiclescausedbyvehiclelanechangingoperation
_version_	1718429284697112576

Analyzing the delays of target lane vehicles caused by vehicle lane-changing operation

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