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n South African Journal of Industrial Engineering - The analysis of speed-reporting rates from a cellular network based on a fingerprint-positioning algorithm

Volume 24, Issue 1
  • ISSN : 1012-277X
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Abstract

The collection of real-time traffic information is an important part of intelligent transportation systems. In particular, cellular floating vehicle data (CFVD) technology has become increasingly widespread, and more and more popular for measuring and forecasting real-time traffic information, based on anonymous sampling of the positions of mobile phones. This study proposes an analytical model to analyse the speed-reporting rates - based on communication behaviour, traffic conditions, and the two consecutive fingerprint-positioning locations from the call arrival and call completion signals of the same call - for a feasibility evaluation of CFVD.

Die versamel van werklike, intydse verkeersinligting is 'n belangrike deel van intelligente vervoersisteme. In die besonder het sellulêre bewegende voertuigdata tegnologie toenemend algemeen en populêr geword vir die meting en vooruitskatting van intydse verkeersinligting. Dit word gebaseer op die anonieme monsterneming van die posisie van seltelefone. Hierdie artikel hou 'n analitiese model voor vir die ontleding van die tempo waarteen snelheid gerapporteer word soos gebaseer op die kommunikasiegedrag, verkeerstoestande en twee opeenvolgende vingerafdruk posisioneringsliggings van die oproep aankoms- en voltooiingseine soos ontvang vir dieselfde oproep - om sodoende die tegnologie te evaluaeer vir uitvoerbaarheid.

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/content/indeng/24/1/EJC136996
2013-05-01
2016-12-09

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