<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

Algorithm of Energy Efficiency Improvement for Intelligent Devices in Railway Transport

Assistant Professor, Riga Technical University

Electrical, Control and Communication Engineering

This work is licensed under the Creative Commons Attribution 4.0 Public License.

The present paper deals with the use of systems and devices with artificial intelligence in the motor vehicle driving. The main objective of transport...

Algorithm of Energy Efficiency Improvement for Intelligent Devices in Railway Transport

Online veröffentlicht: 18. Jan. 2017

Seitenbereich: 29 - 34

DOI: https://doi.org/10.1515/ecce-2016-0004

Schlüsselwörter
Algorithm, Artificial intelligence, Database, Energy consumption, Intelligent systems, Logic, Mathematical model, Optimization, Process planning

© 2016 Riga Technical University

This work is licensed under the Creative Commons Attribution 4.0 Public License.

Algorithm of Energy Efficiency Improvement for Intelligent Devices in Railway Transport

Online veröffentlicht: 18. Jan. 2017

Seitenbereich: 29 - 34

DOI: https://doi.org/10.1515/ecce-2016-0004

SchlüsselwörterAlgorithm, Artificial intelligence, Database, Energy consumption, Intelligent systems, Logic, Mathematical model, Optimization, Process planning

© 2016 Riga Technical University

This work is licensed under the Creative Commons Attribution 4.0 Public License.

Schlüsselwörter
Algorithm, Artificial intelligence, Database, Energy consumption, Intelligent systems, Logic, Mathematical model, Optimization, Process planning