NDLI: Study on Traffic Congestion Patterns of Large City in China Taking Beijing as an Example

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Study on Traffic Congestion Patterns of Large City in China Taking Beijing as an Example

Content Provider	Semantic Scholar
Author	Wen, Huimin Sun, Jianping Zhang, Xi
Copyright Year	2014
Abstract	Urban traffic congestion has different typical characteristics under the influence of different conditions, such as different day of week, holiday and weather etc. It is necessary to set up the relationships between traffic congestion patterns and those influencing factors, when conducting macroscopic analysis on the causes of traffic congestion. Based on Traffic Performance Index (TPI), a dynamic macroscopic index showing the whole area congestion intensity developed in 2007, typical congestion patterns are identified by using clustering method. A comparative analysis is conducted on setting rules for different clustering indexes. TPI pattern curves are derived and verified under combinations of date, transportation demand management policy, holiday, weather condition and etc., according to the actual traffic operational status. The analysis and verification results show that the method used in this paper is effective and feasible. TPI patterns indicate that traffic congestion has inherent characteristics which are primary and essential for transportation managers. This paper lays the foundation for traffic congestion prediction and early warning and proactive alleviation of traffic congestions.
Starting Page	482
Ending Page	491
Page Count	10
File Format	PDF HTM / HTML
DOI	10.1016/j.sbspro.2014.07.227
Volume Number	138
Alternate Webpage(s)	https://core.ac.uk/download/pdf/82333083.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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