Chapter
Sep 8, 2022
Studying on Urban Traffic Status Analysis with ARIMA Approaches and Congestion Model
Publication: CICTP 2022
ABSTRACT
Traffic congestion is still serious problem in large and medium-sized cities. It becomes possible to study on the rule of traffic flows with the development of multi-source data and information technology. This paper proposes a model to estimate urban traffic status with the traffic data of Yangpu District of Shanghai from March 2017 to March 2019. With ARIMA model, it is found that there is a strong time autocorrelation of morning peak speed in Yangpu District. In addition, the congestion model of urban traffic status is proposed, and the current situation of Yangpu District in 2018 is evaluated. Several typical congested sections are found and the corresponding causes of congestion are given. The results can give more decision support to relevant departments.
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Published In
CICTP 2022
Pages: 2969 - 2979
History
Published online: Sep 8, 2022
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1Key Laboratory of Road and Traffic Engineering of the Ministry of Education, College of Transportation Engineering, Tongji Univ., Shanghai, China. Email: [email protected]
2Key Laboratory of Road and Traffic Engineering of the Ministry of Education, College of Transportation Engineering, Tongji Univ., Shanghai, China. Email: [email protected]
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.