New Method for Management of Moving Objects Trajectories in Intelligent Transportation Systems
سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 661
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شناسه ملی سند علمی:
KBEI02_225
تاریخ نمایه سازی: 5 بهمن 1395
چکیده مقاله:
There are always challenges of collecting, indexing and query processing of moving objects trajectories in the field of Moving Objects Databases (MODB). Trajectory data collected by location-aware devices are usually prone to different errors and in most situations indexing and query processing are performed on this erroneous data. As a result, responses provided for the queries that posed by various application scenarios of Intelligent Transportation Systems (ITS) and Location Based Services (LBS), have low accuracy, besides having significant time delay. In this paper, we proposed a model that, tries to reduce the errors of data using map-matching algorithms and index them by exploiting road network information. The indexing can be carried out on past and current movements separately. There is also a possibility of data reduction prior to indexing in order to improve the query processing performance, which attempts to reduce the volumes of data while keeping their quality acceptable for applications. Experiments show the improvement in accuracy and response time of different spatio-temporal queries. In addition, the effect of map-matching and data reduction on indexing methods are also studied.
کلیدواژه ها:
نویسندگان
Mohammad Reza Abbasifard
MODB Lab., School of Computer Engineering Iran University of Science and Technology Tehran, Iran
Hassan Naderi
MODB Lab., School of Computer Engineering Iran University of Science and Technology Tehran, Iran
Omid Isfahani Alamdari
MODB Lab., School of Computer Engineering Iran University of Science and Technology Tehran, Iran
Ali Jafari
MODB Lab., School of Computer Engineering Iran University of Science and Technology Tehran, Iran
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