Real time traffic simulator for self-adaptive navigation system validation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F18%3A10239834" target="_blank" >RIV/61989100:27740/18:10239834 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/record/display.uri?eid=2-s2.0-85056698199&origin=resultslist&sort=plf-f&src=s&st1=Ptosek%2c+V.&st2=&sid=86a46c3813bc8bb537867f4e599ffbc5&sot=b&sdt=b&sl=23&s=AUTHOR-NAME%28Ptosek%2c+V.%29&relpos=1&citeCnt=0&searchTerm=" target="_blank" >https://www.scopus.com/record/display.uri?eid=2-s2.0-85056698199&origin=resultslist&sort=plf-f&src=s&st1=Ptosek%2c+V.&st2=&sid=86a46c3813bc8bb537867f4e599ffbc5&sot=b&sdt=b&sl=23&s=AUTHOR-NAME%28Ptosek%2c+V.%29&relpos=1&citeCnt=0&searchTerm=</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Real time traffic simulator for self-adaptive navigation system validation

Popis výsledku v původním jazyce

We have developed an enhanced real time traffic simulator running on High Performance Computing infrastructure for testing an efficiency and usability of a self-adaptive navigation system which implements a traffic flow optimization service coordinated with external client-side navigation applications and heterogeneous traffic data sources collected and fused in an intelligent way. Building blocks of the simulator include a server-side navigation system, Virtual Smart City World, benchmark settings, and a test bed containing industrial Sygic client-side navigation and a simplified simulation of vehicles. The important feature of the simulator is the ability to evaluate the traffic flow control strategy in the Smart City world, both with and without enabled Global View calculation of a traffic network for a given percentage of vehicles connected to the server-side service. The integration of the Sygic navigation to the large-scale traffic simulator allows performing compliance test of real navigation applications to the developed central navigation system. (C) Institute of Information Science. All rights reserved.

Název v anglickém jazyce

Real time traffic simulator for self-adaptive navigation system validation

Popis výsledku anglicky

We have developed an enhanced real time traffic simulator running on High Performance Computing infrastructure for testing an efficiency and usability of a self-adaptive navigation system which implements a traffic flow optimization service coordinated with external client-side navigation applications and heterogeneous traffic data sources collected and fused in an intelligent way. Building blocks of the simulator include a server-side navigation system, Virtual Smart City World, benchmark settings, and a test bed containing industrial Sygic client-side navigation and a simplified simulation of vehicles. The important feature of the simulator is the ability to evaluate the traffic flow control strategy in the Smart City world, both with and without enabled Global View calculation of a traffic network for a given percentage of vehicles connected to the server-side service. The integration of the Sygic navigation to the large-scale traffic simulator allows performing compliance test of real navigation applications to the developed central navigation system. (C) Institute of Information Science. All rights reserved.

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)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

30th European Modeling and Simulation Symposium, EMSS 2018

ISBN

978-88-85741-06-5

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

10

Strana od-do

274-283

Název nakladatele

University of Genoa

Místo vydání

Janov

Místo konání akce

Budapešť

Datum konání akce

17. 9. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—