NDLI: Urban traffic commuting analysis based on mobile phone data

Content Provider	IEEE Xplore Digital Library
Author	Honghui Dong Xiaoqing Ding Mingchao Wu Yan Shi Limin Jia Yong Qin Lianyu Chu
Copyright Year	2014
Description	Author affiliation: Univ. of California, Irvine, Irvine, CA, USA (Lianyu Chu) \|\| Beijing Traffic Manage. Bur., Beijing, China (Yan Shi) \|\| Beijing Eng. Res. Center of Urban Traffic Inf. Intell. Sensing & Service Technol., Beijing Jiaotong Univ., Beijing, China (Xiaoqing Ding; Mingchao Wu) \|\| State Key Lab. of Rail Traffic Control & Safety , Beijing Eng. Res. Center of Urban Traffic Inf. Intell. Sensing & Service Technol., Beijing, China (Honghui Dong; Limin Jia; Yong Qin)
Abstract	With the urban traffic planning and management development, it is a highly considerable issue to analyze and estimate the original-destination data in the city. Traditional method to acquire the OD information usually uses household survey, which is inefficient and expensive. In this paper, the new methodology proposed that using mobile phone data to analyze the mechanism of trip generation, trip attraction and the OD information. The mobile phone data acquisition is introduced. A pilot study is implemented on Beijing by using the new method. And, much important traffic information can be extracted from the mobile phone data. We use the K-means clustering algorithm to divide the traffic zone. The attribution of traffic zone is identified using the mobile phone data. Then the OD distribution and the commuting travel are analyzed. At last, an experiment is done to verify availability of the mobile phone data, that analyzing the "Traffic tide phenomenon" in Beijing. The results of the experiments in this paper show a great correspondence to the actual situation. The validated results reveal the mobile phone data has tremendous potential on OD analysis.
Starting Page	611
Ending Page	616
File Size	511215
Page Count	6
File Format	PDF
ISBN	9781479960781
DOI	10.1109/ITSC.2014.6957757
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mobile handsets Base stations Real-time systems Cities and towns Mobile communication Sociology Statistics
Content Type	Text
Resource Type	Article

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