Road Traffic State Estimation Framework Based on Hybrid Assisted Global Positioning System and Uplink Time Difference Of Arrival Data Collection Methods

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86099401" target="_blank" >RIV/61989100:27240/15:86099401 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/AFRCON.2015.7331972" target="_blank" >http://dx.doi.org/10.1109/AFRCON.2015.7331972</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/AFRCON.2015.7331972" target="_blank" >10.1109/AFRCON.2015.7331972</a>

Result language

angličtina

Original language name

Road Traffic State Estimation Framework Based on Hybrid Assisted Global Positioning System and Uplink Time Difference Of Arrival Data Collection Methods

Original language description

With the rapid increase of vehicles on the road, road traffic flow information is indispensible to our daily life. Different Intelligent Transport System applications like advanced Traffic Transport System are dependent on proper road traffic state information. Among the different activities in road traffic flow estimation, road traffic data collection plays the great role. The current state-of-the-practice road traffic data collection tools used to gather information about traffic flow are fixed sensor technologies which are limited in road coverage and affected by maintenance and deployment costs. Using the existing cellular network infrastructure to gather road traffic data offers large coverage capability and it is faster to set up, easier to install and needs less maintenance. Based on the analysis of relevant studies on road traffic state estimation, this paper proposes a universal framework based on experimentally evaluated hybrid Assisted Global Positioning System (A-GPS) and Uplink Time Difference Of Arrival (U-TDOA) real-time road traffic data collection system. The framework integrates several models with appropriate technologies to realize traffic data collection, processing, analysis, state estimation and optimization and presentation of traffic flow information to road users. In Data analysis component a new approach of taking probe sample, i.e. dynamic 'Pinpoint-Temporal' sampling frequency method is proposed. (C) 2015 IEEE.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2015

Confidentiality

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

Article name in the collection

IEEE AFRICON Conference. Volume 2015

ISBN

978-1-4799-7498-6

ISSN

2153-0025

e-ISSN

—

Number of pages

5

Pages from-to

1-5

Publisher name

Institute of Electrical and Electronics Engineers

Place of publication

New York

Event location

Addis Abeba

Event date

Sep 14, 2015

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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