Identifying Transportation Mode from GPS Trajectory Data: A Systematic Review
عنوان مقاله: Identifying Transportation Mode from GPS Trajectory Data: A Systematic Review
شناسه ملی مقاله: GISCIENCE02_059
منتشر شده در دومین کنفرانس بین المللی علم اطلاعات جغرافیایی بنیادها و کاربردهای بین رشته ای در سال 1400
شناسه ملی مقاله: GISCIENCE02_059
منتشر شده در دومین کنفرانس بین المللی علم اطلاعات جغرافیایی بنیادها و کاربردهای بین رشته ای در سال 1400
مشخصات نویسندگان مقاله:
Sahar Veyskarami - Computer Engineering Department, Yazd University, Yazd, Iran
Mohammad-reza Pajoohan - Computer Engineering Department, Yazd University, Yazd, Iran
خلاصه مقاله:
Sahar Veyskarami - Computer Engineering Department, Yazd University, Yazd, Iran
Mohammad-reza Pajoohan - Computer Engineering Department, Yazd University, Yazd, Iran
The development of wireless infrastructure and data collection technologies such as the Global Positioning System (GPS) and Geospatial Information System (GIS) has led to growth in the production and collection of data, especially trajectory data. This information is important in many fields of research such as identifying transportation modes. Analysis of the users' transportation modes is an important factor for various areas such as traffic management. In this paper, we compare the existing approaches in the research in terms of preprocessing and segmentation methods, feature engineering, the algorithm used for identifying transportation modes, and the considered transportation mode categories.
کلمات کلیدی: Transportation Mode, Travel Data, Trajectory Data, GPS Trajectory, Spatial Data Mining
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1383926/