کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4957352 | 1445075 | 2017 | 16 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An approach for the discovery and validation of urban mobility patterns
ترجمه فارسی عنوان
یک رویکرد برای کشف و تایید الگوهای حرکت شهری
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کلمات کلیدی
معادله الگوی مسیریابی، شباهت مسیر محاسبات شهری،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
The increasing pervasiveness of mobile devices favors the collection of large amounts of movement data that can be analyzed to extract knowledge, i.e. patterns, rules and regularities, from user trajectories. In this paper we present TPM, an integrated algorithm which supports the overall trajectory pattern discovery process for detecting user's mobility behaviors. Specifically, the algorithm includes two main phases: (i) finding dense regions, more densely passed through ones; (ii) extracting trajectory patterns from those regions. Another contribution of the paper is a validation methodology for assessing the effectiveness of the TPM algorithm, e.g., evaluating how the discovered knowledge model fits to the input data it is discovered from. Such methodology represents a general solution that can be used to evaluate the accuracy of any algorithm aiming at extracting dense regions and trajectory patterns from GPS data. Furthermore, we propose novel trajectory similarity measures to evaluate the quality of the extracted patterns. A detailed experimental evaluation, performed by exploiting the proposed validation process, proves the efficiency and effectiveness of TPM.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pervasive and Mobile Computing - Volume 42, December 2017, Pages 77-92
Journal: Pervasive and Mobile Computing - Volume 42, December 2017, Pages 77-92
نویسندگان
Eugenio Cesario, Carmela Comito, Domenico Talia,