NDLI: Prediction of crossroad passing using artificial neural networks

Content Provider	IEEE Xplore Digital Library
Author	Civilis, A.
Copyright Year	2006
Description	Author affiliation: Fac. of Math. & Informatics, Vilnius Univ. (Civilis, A.)
Abstract	One of the key issues while minimizing the cost of a continuous tracking of moving object is precision of predicted trajectory. Analysis of location data showed that car drivers often participate in a typical spatio-temporal motion patterns. Precision of location prediction and thus client-server tracking communications can be improved by learning such motion patterns. Paper proposes a novel approach to make predictions about where to the driver will turn at the crossroad as these are the points where trajectory can be branched in the road network environment. Approach applies artificial neural networks(ANN) which are used to learn temporal patterns of crossroad passing and predict transitions through the crossroad. Several neural networks' structures are presented and analyzed, also ANN based method is compared to statistical techniques. Proof of concept of the proposed prediction method was analyzed using real and artificial data sets. The potential of the crossroad passing prediction is discussed
Sponsorship	Gov. of the Republic of Lithuania Minist. of Educ. and Sci. of the Republic of Lithuania Lithuanian State Sci. and Studies Found. SYBASE Microsoft NOKIA SASAJA
Starting Page	229
Ending Page	234
File Size	263910
Page Count	6
File Format	PDF
ISBN	1424403456
DOI	10.1109/DBIS.2006.1678501
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-03
Publisher Place	Lithuania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Geometry Costs Data analysis Roads Weather forecasting Artificial neural networks Switches Mathematics Trajectory Informatics
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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