On-line Recognition of Critical Driving Situations
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F21%3A00351008" target="_blank" >RIV/68407700:21260/21:00351008 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.14311/NNW.2021.31.012" target="_blank" >https://doi.org/10.14311/NNW.2021.31.012</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14311/NNW.2021.31.012" target="_blank" >10.14311/NNW.2021.31.012</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
On-line Recognition of Critical Driving Situations
Popis výsledku v původním jazyce
According to the statistics about vehicle accidents, there are many causes such as traffic violations, reduced concentration, micro sleep, hasty aggression, but the most frequent cause of accidents at highways is a carelessness of the driver and violation of keeping a safe distance. Producers of vehicles try to take into account this situation by development of assistance systems which are able to avoid accidents or at least to mitigate its consequences. This urgent situation leaded to the described project of investigation of behavior of drivers in dangerous situations occurring in vehicle driving. The research is to help in solution of the present unsatisfactory situation in driving accidents. The developed decisionmaking algorithm of detection serious driving situations that can lead to accidents was tested in the laboratory of driving simulators in FTS CTU, Prague. The data for its testing resembled highway traffic.
Název v anglickém jazyce
On-line Recognition of Critical Driving Situations
Popis výsledku anglicky
According to the statistics about vehicle accidents, there are many causes such as traffic violations, reduced concentration, micro sleep, hasty aggression, but the most frequent cause of accidents at highways is a carelessness of the driver and violation of keeping a safe distance. Producers of vehicles try to take into account this situation by development of assistance systems which are able to avoid accidents or at least to mitigate its consequences. This urgent situation leaded to the described project of investigation of behavior of drivers in dangerous situations occurring in vehicle driving. The research is to help in solution of the present unsatisfactory situation in driving accidents. The developed decisionmaking algorithm of detection serious driving situations that can lead to accidents was tested in the laboratory of driving simulators in FTS CTU, Prague. The data for its testing resembled highway traffic.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10103 - Statistics and probability
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Neural Network World
ISSN
1210-0552
e-ISSN
2336-4335
Svazek periodika
31
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
12
Strana od-do
227-238
Kód UT WoS článku
000691212500004
EID výsledku v databázi Scopus
2-s2.0-85115446725