عنوان

Management and Prediction of Moving Objects under Location Uncertainty

شماره

TL52461

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

عنوان اصلي

Management and Prediction of Moving Objects under Location Uncertainty

نام عام مواد

[Thesis]

نام نخستين پديدآور

Islam, Abdullah

نام ساير پديدآوران

Ali, Mohamed H

نام ناشر، پخش کننده و غيره

University of Washington

تاریخ نشرو بخش و غیره

2020

متن يادداشت

40 p.

جزئيات پايان نامه و نوع درجه آن

Master's

کسي که مدرک را اعطا کرده

University of Washington

امتياز متن

2020

متن يادداشت

In spatio-temporal systems, precise location data is desirable but often not available due to obfuscation, privacy, hardware inaccuracies, and other factors. Progress has been made in research which deals with the uncertainty of moving objects' location data. However, much of the existing work does not always consider factors such as constraints imposed by the topology of road networks, and harmonic integration between past movements, current, and prospective imprecise positions. In this thesis, we propose an approach that utilizes time, distance, and connectivity constraints of a road network to infer a moving object's past, present, and future locations more precisely when its exact location data is not available. The experimental results using real GPS trajectories confirm the efficiency of our proposed solution for reducing uncertainty and inferring historical, and future locations.

اصطلاح موضوعی

Computer science

اصطلاح موضوعی

Geographic information science

مستند نام اشخاص تاييد نشده

Islam, Abdullah

مستند نام اشخاص تاييد نشده

Ali, Mohamed H

مستند نام تنالگان تاييد نشده

University of Washington

نام الکترونيکي

فرمت انتشار

p

نوع ماده

[Thesis]

کد کاربرگه

276903

سطح دسترسي

a

تكميل شده

Y