Algorithm of Energy Efficiency Improvement for Intelligent Devices in Railway Transport
The present paper deals with the use of systems and devices with artificial intelligence in the motor vehicle driving. The main objective of transport operations is a transportation planning with minimum energy consumption. There are various methods for energy saving, and the paper discusses one of...
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Online Access: | https://doi.org/10.1515/ecce-2016-0004 |
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doaj-ad02bbb2c70f45c2b3358b76d27f68f72021-09-05T20:44:46ZengSciendoElectrical, Control and Communication Engineering 2255-91592016-07-01101293410.1515/ecce-2016-0004ecce-2016-0004Algorithm of Energy Efficiency Improvement for Intelligent Devices in Railway TransportBeinaroviča Anna0Gorobecs Mihails1Ļevčenkovs Anatolijs2Ph.D. student, Riga Technical UniversityAssistant Professor, Riga Technical UniversityProfessor, Riga Technical UniversityThe present paper deals with the use of systems and devices with artificial intelligence in the motor vehicle driving. The main objective of transport operations is a transportation planning with minimum energy consumption. There are various methods for energy saving, and the paper discusses one of them – proper planning of transport operations. To gain proper planning it is necessary to involve the system and devices with artificial intelligence. They will display possible developments in the choice of one or another transport plan. Consequently, it can be supposed how much the plan is effective against the spent energy. The intelligent device considered in this paper consists of an algorithm, a database, and the internet for the connection to other intelligent devices. The main task of the target function is to minimize the total downtime at intermediate stations. A specific unique PHP-based computer model was created. It uses the MySQL database for simulation data storage and processing. Conclusions based on the experiments were made. The experiments showed that after optimization, a train can pass intermediate stations without making multiple stops breaking and accelerating, which leads to decreased energy consumption.https://doi.org/10.1515/ecce-2016-0004algorithmartificial intelligencedatabaseenergy consumptionintelligent systemslogicmathematical modeloptimizationprocess planning |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Beinaroviča Anna Gorobecs Mihails Ļevčenkovs Anatolijs |
spellingShingle |
Beinaroviča Anna Gorobecs Mihails Ļevčenkovs Anatolijs Algorithm of Energy Efficiency Improvement for Intelligent Devices in Railway Transport Electrical, Control and Communication Engineering algorithm artificial intelligence database energy consumption intelligent systems logic mathematical model optimization process planning |
author_facet |
Beinaroviča Anna Gorobecs Mihails Ļevčenkovs Anatolijs |
author_sort |
Beinaroviča Anna |
title |
Algorithm of Energy Efficiency Improvement for Intelligent Devices in Railway Transport |
title_short |
Algorithm of Energy Efficiency Improvement for Intelligent Devices in Railway Transport |
title_full |
Algorithm of Energy Efficiency Improvement for Intelligent Devices in Railway Transport |
title_fullStr |
Algorithm of Energy Efficiency Improvement for Intelligent Devices in Railway Transport |
title_full_unstemmed |
Algorithm of Energy Efficiency Improvement for Intelligent Devices in Railway Transport |
title_sort |
algorithm of energy efficiency improvement for intelligent devices in railway transport |
publisher |
Sciendo |
series |
Electrical, Control and Communication Engineering |
issn |
2255-9159 |
publishDate |
2016-07-01 |
description |
The present paper deals with the use of systems and devices with artificial intelligence in the motor vehicle driving. The main objective of transport operations is a transportation planning with minimum energy consumption. There are various methods for energy saving, and the paper discusses one of them – proper planning of transport operations. To gain proper planning it is necessary to involve the system and devices with artificial intelligence. They will display possible developments in the choice of one or another transport plan. Consequently, it can be supposed how much the plan is effective against the spent energy. The intelligent device considered in this paper consists of an algorithm, a database, and the internet for the connection to other intelligent devices. The main task of the target function is to minimize the total downtime at intermediate stations. A specific unique PHP-based computer model was created. It uses the MySQL database for simulation data storage and processing. Conclusions based on the experiments were made. The experiments showed that after optimization, a train can pass intermediate stations without making multiple stops breaking and accelerating, which leads to decreased energy consumption. |
topic |
algorithm artificial intelligence database energy consumption intelligent systems logic mathematical model optimization process planning |
url |
https://doi.org/10.1515/ecce-2016-0004 |
work_keys_str_mv |
AT beinarovicaanna algorithmofenergyefficiencyimprovementforintelligentdevicesinrailwaytransport AT gorobecsmihails algorithmofenergyefficiencyimprovementforintelligentdevicesinrailwaytransport AT levcenkovsanatolijs algorithmofenergyefficiencyimprovementforintelligentdevicesinrailwaytransport |
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1717785210125287424 |