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Early Traffic Warning Using SMS

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F17%3A00004659" target="_blank" >RIV/46747885:24310/17:00004659 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Early Traffic Warning Using SMS

  • Original language description

    The main objective of telematics applications is to provide the right information to the driver at the right time. Telematics systems include a variety of projects. These projects range from the mandatory implementation of eCall through a test run of various projects for early warning to the concepts including artificial intelligence. The future will show the potential of the use of these systems, but their benefits are undeniable, as shown by past experience. The aim of this work is to improve road safety in the form of prevention. This paper proposes a solution based on SMS. The solution offers advantages like simple implementation, low costs and easy handling of the message by a potential end user. There are some disadvantages as well. It is not possible to exclude unnecessary receivers in the specific area. The paper discusses the method and introduces possible solutions.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    IDIMT 2017: Digitalization in Management, Society and Economy - 25th Interdisciplinary Information Management Talks

  • ISBN

    9783990621196

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    281-287

  • Publisher name

  • Place of publication

    Linz, Österreich

  • Event location

    Poděbrady

  • Event date

    Jan 1, 2017

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000419365600032