A Way to Automatically Generate Lane Level Traffic Data from Video in the Intersections

Lane level traffic data such as average waiting time and flow data at each turn direction not only enable navigation systems to provide users with more detailed and finer-grained information; it can also pave the way for future traffic congestion prediction. Although few studies considered extractin...

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Autores principales:	Zhongguo Yang, Sikandar Ali, Weilong Ding, Irshad Ahmed Abbasi, Muhammad Faizan Khan
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Transportation engineering TA1001-1280 Transportation and communications HE1-9990
Acceso en línea:	https://doaj.org/article/08e353aab39c4023b27b3d6987d44f48
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spelling	oai:doaj.org-article:08e353aab39c4023b27b3d6987d44f482021-11-15T01:19:16ZA Way to Automatically Generate Lane Level Traffic Data from Video in the Intersections2042-319510.1155/2021/4764174https://doaj.org/article/08e353aab39c4023b27b3d6987d44f482021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/4764174https://doaj.org/toc/2042-3195Lane level traffic data such as average waiting time and flow data at each turn direction not only enable navigation systems to provide users with more detailed and finer-grained information; it can also pave the way for future traffic congestion prediction. Although few studies considered extracting traffic flow data from a video at the lane level, it is not clear how many vehicles required turn left in fine-grained lanes during a fixed time. Many previous works focus on applying sensor data instead to videos to extract traffic flow. However, the reversible lanes and various shooting angles obstruct the progress of constructing a traffic data collection system. A framework is proposed to get these data in the intersection directly from a video and solve the problem of vehicle occlusion based on the delayed matching model. First, the different direction lanes are detected automatically by clustering trajectory data which are generated by tracking each vehicle. Experiments are conducted on urban intersections to show that our method can generate these traffic data effectively.Zhongguo YangSikandar AliWeilong DingIrshad Ahmed AbbasiMuhammad Faizan KhanHindawi-WileyarticleTransportation engineeringTA1001-1280Transportation and communicationsHE1-9990ENJournal of Advanced Transportation, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Transportation engineering TA1001-1280 Transportation and communications HE1-9990
spellingShingle	Transportation engineering TA1001-1280 Transportation and communications HE1-9990 Zhongguo Yang Sikandar Ali Weilong Ding Irshad Ahmed Abbasi Muhammad Faizan Khan A Way to Automatically Generate Lane Level Traffic Data from Video in the Intersections
description	Lane level traffic data such as average waiting time and flow data at each turn direction not only enable navigation systems to provide users with more detailed and finer-grained information; it can also pave the way for future traffic congestion prediction. Although few studies considered extracting traffic flow data from a video at the lane level, it is not clear how many vehicles required turn left in fine-grained lanes during a fixed time. Many previous works focus on applying sensor data instead to videos to extract traffic flow. However, the reversible lanes and various shooting angles obstruct the progress of constructing a traffic data collection system. A framework is proposed to get these data in the intersection directly from a video and solve the problem of vehicle occlusion based on the delayed matching model. First, the different direction lanes are detected automatically by clustering trajectory data which are generated by tracking each vehicle. Experiments are conducted on urban intersections to show that our method can generate these traffic data effectively.
format	article
author	Zhongguo Yang Sikandar Ali Weilong Ding Irshad Ahmed Abbasi Muhammad Faizan Khan
author_facet	Zhongguo Yang Sikandar Ali Weilong Ding Irshad Ahmed Abbasi Muhammad Faizan Khan
author_sort	Zhongguo Yang
title	A Way to Automatically Generate Lane Level Traffic Data from Video in the Intersections
title_short	A Way to Automatically Generate Lane Level Traffic Data from Video in the Intersections
title_full	A Way to Automatically Generate Lane Level Traffic Data from Video in the Intersections
title_fullStr	A Way to Automatically Generate Lane Level Traffic Data from Video in the Intersections
title_full_unstemmed	A Way to Automatically Generate Lane Level Traffic Data from Video in the Intersections
title_sort	way to automatically generate lane level traffic data from video in the intersections
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/08e353aab39c4023b27b3d6987d44f48
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A Way to Automatically Generate Lane Level Traffic Data from Video in the Intersections

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