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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

IEEE AFRICON Conference. Volume 2015

ISBN

978-1-4799-7498-6

ISSN

2153-0025

e-ISSN

—

Počet stran výsledku

5

Strana od-do

1-5

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

New York

Místo konání akce

Addis Abeba

Datum konání akce

14. 9. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—