Электронный архив

Improving computer support system for drivers with multiport memory devices

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dc.contributor.author Khasanov R.
dc.contributor.author Shepelev V.
dc.contributor.author Almetova Z.
dc.contributor.author Shubenkova K.
dc.contributor.author Aristombayeva M.
dc.date.accessioned 2020-01-15T22:11:24Z
dc.date.available 2020-01-15T22:11:24Z
dc.date.issued 2019
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/156946
dc.description.abstract © 2019 by SCITEPRESS - Science and Technology Publications, Lda. The deficiencies of existing methods and means of computer support in the positioning of vehicles have been identified. The objective function for assessing the effectiveness of decision making when choosing the positioning mode for a group of mobile objects on the roadway in the conditions of insufficient visual information is defined, with the criteria for estimating the quality and effectiveness being established. A stratified cellular model for roadways is developed, where the road is viewed as an extended object in the space, the borders of which are digitized by the satellite navigation system "GLONASS/GPS" with the required degree of discreteness and accuracy. The roadway model is realized as a multi-page dynamic array and is used in the developed simulation model of vehicle traffic control, with navigation data errors being taken into account. The platform prototype can be implemented on the basis of VRAM, WRAM, MDRAM, ZigBee-modems "ETRX2-PA", driver support systems based on mobile computers such as GLONASS/GPSmodules of the "SIM68EVB KIT" type. The received results are recommended for creating computer support systems for drivers, and for managing vehicles in the conditions of insufficient visual information.
dc.subject Digitized Borders of the Roadway
dc.subject Lack of Visual Information
dc.subject Positioning a Group of Vehicles
dc.title Improving computer support system for drivers with multiport memory devices
dc.type Conference Paper
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 663
dc.source.id SCOPUS-2019-SID85067565467


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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