Comparison of ASIM Traffic Profile Detectors and Floating Car Data During Traffic Incidents

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86094050" target="_blank" >RIV/61989100:27240/15:86094050 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/44994575:_____/15:#0001572 RIV/61989100:27740/15:86094050

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007/978-3-319-24369-6_10" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-24369-6_10</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-24369-6_10" target="_blank" >10.1007/978-3-319-24369-6_10</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Comparison of ASIM Traffic Profile Detectors and Floating Car Data During Traffic Incidents

Popis výsledku v původním jazyce

Intelligent Transportation Systems are highly dependent on the quality and quantity of road traffic data. The complexity of input data is often crucial for effectiveness and sufficient reliability of such systems. Recent days, the fusion of various data sources is the topic which attracts attention of several researchers. The algorithms for data fusion take benefit of the advantages and disadvantages of each technology, resulting in an optimal solution for traffic management problems. The paper is focused on finding relations between two main data sources, floating car data and ASIM traffic profile detectors. Time series of speed and other information obtained from these data sources were analysed by Granger causality with intention to use both data sources efficiently for traffic monitoring and control during traffic incidents.

Název v anglickém jazyce

Comparison of ASIM Traffic Profile Detectors and Floating Car Data During Traffic Incidents

Popis výsledku anglicky

Intelligent Transportation Systems are highly dependent on the quality and quantity of road traffic data. The complexity of input data is often crucial for effectiveness and sufficient reliability of such systems. Recent days, the fusion of various data sources is the topic which attracts attention of several researchers. The algorithms for data fusion take benefit of the advantages and disadvantages of each technology, resulting in an optimal solution for traffic management problems. The paper is focused on finding relations between two main data sources, floating car data and ASIM traffic profile detectors. Time series of speed and other information obtained from these data sources were analysed by Granger causality with intention to use both data sources efficiently for traffic monitoring and control during traffic incidents.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Lecture notes in computer science. Volume 9339

ISBN

978-3-319-24368-9

ISSN

0302-9743

e-ISSN

neuvedeno

Počet stran výsledku

12

Strana od-do

120-131

Název nakladatele

Springer

Místo vydání

Basel

Místo konání akce

Varšava

Datum konání akce

24. 9. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000366016000010