کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6936168 | 1449661 | 2018 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
On data processing required to derive mobility patterns from passively-generated mobile phone data
ترجمه فارسی عنوان
در پردازش اطلاعات مورد نیاز برای تحریک الگوهای تحرک از داده های تلفن همراه تلفن همراه منفعل
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کلمات کلیدی
مسیر انسانی انسان، عدم قطعیت محل مشکل نوسان مسئله نمایندگی، روش خوشه بندی افزایشی، روش مبتنی بر زمان، منظم بودن آماری،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
Passively-generated mobile phone data is emerging as a potential data source for transportation research and applications. Despite the large amount of studies based on the mobile phone data, only a few have reported the properties of such data, and documented how they have processed the data. In this paper, we describe two types of common mobile phone data: Call Details Record (CDR) data and sightings data, and propose a data processing framework and the associated algorithms to address two key issues associated with the sightings data: locational uncertainty and oscillation. We show the effectiveness of our proposed methods in addressing these two issues compared to the state of art algorithms in the field. We also demonstrate that without proper processing applied to the data, the statistical regularity of human mobility patterns-a key, significant trait identified for human mobility-is over-estimated. We hope this study will stimulate more studies in examining the properties of such data and developing methods to address them. Though not as glamorous as those directly deriving insights on mobility patterns (such as statistical regularity), understanding properties of such data and developing methods to address them is a fundamental research topic on which important insights are derived on mobility patterns.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transportation Research Part C: Emerging Technologies - Volume 87, February 2018, Pages 58-74
Journal: Transportation Research Part C: Emerging Technologies - Volume 87, February 2018, Pages 58-74
نویسندگان
Feilong Wang, Cynthia Chen,