NDLI: Macroscopic traffic flow models for Shanghai

Content Provider	IEEE Xplore Digital Library
Author	Wuxiong Zhang Yang Yang Hua Qian Yi Zhang Minduo Jiao Tao Yang
Copyright Year	2012
Description	Author affiliation: Shanghai Research Center for Wireless Communications, Shanghai, China (Wuxiong Zhang; Yang Yang; Hua Qian) \|\| Shanghai Municipal Transportation Information Center, Shanghai, China (Yi Zhang; Minduo Jiao; Tao Yang)
Abstract	Traffic flow models are essential to performance analysis/evaluation for applications/services provided by Intelligent Transportation Systems (ITS)/Vehicular Ad-hoc networks (VANET). They are also useful guidance for the deployment of ITS/VANET. Many macroscopic traffic flow models have been proposed in the past few decades on the basis of empirical data collected in the US, Canada, Turkey and etc. However these models may not be accurate for traffic flows in cities in China due to the differences in population, transportation infrastructure, and driving culture. In this paper, we collected a large amount of empirical traffic flow data in Shanghai overhead road during three different time periods. Statistical results showed that the lane-level traffic volumes in Shanghai followed Gaussian distribution rather than Poisson distribution which was normally assumed in literature. Regarding lane-level vehicles' velocities, they matched well with Gaussian distribution. The empirical probability mass functions (PMF) for both the traffic volumes and vehicles' velocities were presented. In addition, how these models would impact performance analysis in VANETs was discussed.
Starting Page	799
Ending Page	803
File Size	351514
Page Count	5
File Format	PDF
ISBN	9781457720529
ISSN	15503607
e-ISBN	9781457720536
e-ISBN	9781457720512
DOI	10.1109/ICC.2012.6364268
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-10
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Roads Data models Gaussian distribution Ad hoc networks Analytical models Modeling Intelligent Transportation System (ITS) Vehicular Ad-Hoc Network (VANET) Traffic flow
Content Type	Text
Resource Type	Article

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