Intelligent Planning and Research on Urban Traffic Congestion

For large and medium-sized cities, the planning and development of urban road networks may not keep pace with the growth of urban vehicles, resulting in traffic congestion on urban roads during peak hours. Take Jinan, a mid-sized city in China’s Shandong Province, for example. In view of the daily t...

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Autores principales:	Qigang Zhu, Yifan Liu, Ming Liu, Shuaishuai Zhang, Guangyang Chen, Hao Meng
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	smart cities intelligent transportation system Python traffic congestion urban health analytics Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/6648f2f5d7d24d90a4777c02a23bb95f
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id	oai:doaj.org-article:6648f2f5d7d24d90a4777c02a23bb95f
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spelling	oai:doaj.org-article:6648f2f5d7d24d90a4777c02a23bb95f2021-11-25T17:39:51ZIntelligent Planning and Research on Urban Traffic Congestion10.3390/fi131102841999-5903https://doaj.org/article/6648f2f5d7d24d90a4777c02a23bb95f2021-11-01T00:00:00Zhttps://www.mdpi.com/1999-5903/13/11/284https://doaj.org/toc/1999-5903For large and medium-sized cities, the planning and development of urban road networks may not keep pace with the growth of urban vehicles, resulting in traffic congestion on urban roads during peak hours. Take Jinan, a mid-sized city in China’s Shandong Province, for example. In view of the daily traffic jam of the city’s road traffic, through investigation and analysis, the existing problems of the road traffic are found out. Based on real-time, daily road traffic data, combined with the existing road network and the planned road network, the application of a road intelligent transportation system is proposed. Combined with the application of a road intelligent transportation system, this paper discusses the future development of urban road traffic and puts forward improvement suggestions for road traffic planning. This paper has reference value for city development, road network construction, the application of intelligent transportation systems, and road traffic planning.Qigang ZhuYifan LiuMing LiuShuaishuai ZhangGuangyang ChenHao MengMDPI AGarticlesmart citiesintelligent transportation systemPythontraffic congestionurban health analyticsInformation technologyT58.5-58.64ENFuture Internet, Vol 13, Iss 284, p 284 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	smart cities intelligent transportation system Python traffic congestion urban health analytics Information technology T58.5-58.64
spellingShingle	smart cities intelligent transportation system Python traffic congestion urban health analytics Information technology T58.5-58.64 Qigang Zhu Yifan Liu Ming Liu Shuaishuai Zhang Guangyang Chen Hao Meng Intelligent Planning and Research on Urban Traffic Congestion
description	For large and medium-sized cities, the planning and development of urban road networks may not keep pace with the growth of urban vehicles, resulting in traffic congestion on urban roads during peak hours. Take Jinan, a mid-sized city in China’s Shandong Province, for example. In view of the daily traffic jam of the city’s road traffic, through investigation and analysis, the existing problems of the road traffic are found out. Based on real-time, daily road traffic data, combined with the existing road network and the planned road network, the application of a road intelligent transportation system is proposed. Combined with the application of a road intelligent transportation system, this paper discusses the future development of urban road traffic and puts forward improvement suggestions for road traffic planning. This paper has reference value for city development, road network construction, the application of intelligent transportation systems, and road traffic planning.
format	article
author	Qigang Zhu Yifan Liu Ming Liu Shuaishuai Zhang Guangyang Chen Hao Meng
author_facet	Qigang Zhu Yifan Liu Ming Liu Shuaishuai Zhang Guangyang Chen Hao Meng
author_sort	Qigang Zhu
title	Intelligent Planning and Research on Urban Traffic Congestion
title_short	Intelligent Planning and Research on Urban Traffic Congestion
title_full	Intelligent Planning and Research on Urban Traffic Congestion
title_fullStr	Intelligent Planning and Research on Urban Traffic Congestion
title_full_unstemmed	Intelligent Planning and Research on Urban Traffic Congestion
title_sort	intelligent planning and research on urban traffic congestion
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/6648f2f5d7d24d90a4777c02a23bb95f
work_keys_str_mv	AT qigangzhu intelligentplanningandresearchonurbantrafficcongestion AT yifanliu intelligentplanningandresearchonurbantrafficcongestion AT mingliu intelligentplanningandresearchonurbantrafficcongestion AT shuaishuaizhang intelligentplanningandresearchonurbantrafficcongestion AT guangyangchen intelligentplanningandresearchonurbantrafficcongestion AT haomeng intelligentplanningandresearchonurbantrafficcongestion
_version_	1718412108776865792

Intelligent Planning and Research on Urban Traffic Congestion

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