Visible to the public Urban traffic commuting analysis based on mobile phone data

TitleUrban traffic commuting analysis based on mobile phone data
Publication TypeConference Paper
Year of Publication2014
AuthorsHonghui Dong, Xiaoqing Ding, Mingchao Wu, Yan Shi, Limin Jia, Yong Qin, Lianyu Chu
Conference NameIntelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Date PublishedOct
KeywordsBase stations, Cities and towns, data acquisition, feature extraction, k-means clustering algorithm, Mobile communication, mobile computing, Mobile handsets, mobile phone data acquisition, OD information, pattern clustering, Real-time Systems, Sociology, Statistics, traffic information extraction, traffic information systems, trip attraction, trip generation mechanism, urban traffic commuting analysis

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.

Citation Key6957757