DocumentCode
2498905
Title
Peak Volume Characteristics of Urban Road Intersections: Case in Shanghai
Author
Qian, Lianghui ; Chen, Xiaohong
Author_Institution
Key Lab. of Road & Traffic Eng. of the Minist. of Educ., Tongji Univ., Shanghai, China
fYear
2010
fDate
23-25 April 2010
Firstpage
397
Lastpage
401
Abstract
The peak volume characteristics are of great significance to transportation planning, design, and management. However, the amount of researches conducted on the subject of site-to-site variability of the peak volume characteristics is relatively limited, which largely restrict the identification of appropriate peak volume factor and other pertinent parameters in traffic analysis. This paper discussed the site-to-site variability of the peak volume in Shanghai in detail based on three-year data. In this paper, 49 automatic traffic recorder stations at intersections were selected to collect traffic data in the central city of Shanghai from 2006 to 2008. The statistical characteristics of a.m. peak hour volume and peak period volume were then analyzed based on the data of intersections and approaches, respectively. The relationship between peak hour factors (or the ratios of peak hour volume to peak period volume) and volume, location, and road class were obtained by linear regressions. It was concluded that the peak volume characteristics varied from site to site evidently. Furthermore, the peak volume characteristics of intersections and of approaches were different. Lastly, the significant influencing factors were different for intersections and for approaches.
Keywords
planning; road traffic; traffic engineering computing; transportation; Shanghai; automatic traffic recorder stations; peak volume characteristics; site-to-site variability; transportation design; transportation management; transportation planning; urban road intersections; Cities and towns; Computer networks; Data engineering; Design engineering; Educational technology; Laboratories; Linear regression; Road transportation; Traffic control; Urban areas; loop detector data; peak volume characteristics; site-to-site variability;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Network Technology (ICCNT), 2010 Second International Conference on
Conference_Location
Bangkok
Print_ISBN
978-0-7695-4042-9
Electronic_ISBN
978-1-4244-6962-8
Type
conf
DOI
10.1109/ICCNT.2010.82
Filename
5474467
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