The prediction of parking space availability
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F20%3A84002" target="_blank" >RIV/60460709:41110/20:84002 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/60460709:41310/20:84002
Výsledek na webu
<a href="https://journals.vgtu.lt/index.php/Transport/article/view/14016" target="_blank" >https://journals.vgtu.lt/index.php/Transport/article/view/14016</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3846/transport.2020.14016" target="_blank" >10.3846/transport.2020.14016</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
The prediction of parking space availability
Popis výsledku v původním jazyce
Intelligent Parking Systems i.e. IPS allow customers to select a car park according to their preferences, rapidly park their vehicle without searching for parking space or even book thisplace. IPS provides the possibility to reduce the wastage of fuel while finding a parking place and consequently reduce emissions. Some systems interact with in vehicle navigation systems and provide users with information in real time such as free places available at a given parking lot, the location and parking fees. Few of these systems provide information on the forecasted utilisation at specific time. This paper describes results of a traffic survey carried out at the parking lot of supermarket and the proposal of the model predicting real time parking space availability based on these surveyed data. The proposed model is formulated as the non homogenous Markov chains that are used as a tool for the forecasting of parking space availability. The transition matrices are calculated for different time periods, which
Název v anglickém jazyce
The prediction of parking space availability
Popis výsledku anglicky
Intelligent Parking Systems i.e. IPS allow customers to select a car park according to their preferences, rapidly park their vehicle without searching for parking space or even book thisplace. IPS provides the possibility to reduce the wastage of fuel while finding a parking place and consequently reduce emissions. Some systems interact with in vehicle navigation systems and provide users with information in real time such as free places available at a given parking lot, the location and parking fees. Few of these systems provide information on the forecasted utilisation at specific time. This paper describes results of a traffic survey carried out at the parking lot of supermarket and the proposal of the model predicting real time parking space availability based on these surveyed data. The proposed model is formulated as the non homogenous Markov chains that are used as a tool for the forecasting of parking space availability. The transition matrices are calculated for different time periods, which
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50703 - Transport planning and social aspects of transport (transport engineering to be 2.1)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Transport
ISSN
1648-4142
e-ISSN
1648-4142
Svazek periodika
35
Číslo periodika v rámci svazku
5
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
12
Strana od-do
462-473
Kód UT WoS článku
000604437100002
EID výsledku v databázi Scopus
2-s2.0-85098059530