Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Szilard Aradi"'
Publikováno v:
IEEE Access, Vol 12, Pp 104463-104472 (2024)
With increasing realised traffic on transport networks, greenhouse gas emissions show a similar trend. Reducing them is a modern aspiration, creating a better place to live and moving towards sustainability. Expanding the infrastructure is often not
Externí odkaz:
https://doaj.org/article/a848818ef4c44c09a81c0bf8f1453a01
Publikováno v:
Agriculture, Vol 14, Iss 3, p 499 (2024)
The number of highly automated machines in the agricultural sector has increased rapidly in recent years. To reduce their fuel consumption, and thus their emission and operational cost, the performance of such machines must be optimized. The running
Externí odkaz:
https://doaj.org/article/f60d3ff7945b4c3086e6a0d3bcf19f31
Publikováno v:
IEEE Access, Vol 10, Pp 39691-39699 (2022)
The transportation industry is one of the main contributors to global warming since it is responsible for a quarter of greenhouse gas emissions. Due to society’s crucial dependence on fossil fuels and the rapid increase in mobility demands, the red
Externí odkaz:
https://doaj.org/article/05519280b37140a08bf02b13e6a9501c
Publikováno v:
IEEE Access, Vol 8, Pp 147295-147312 (2020)
Electro-pneumatic actuators play an essential role in various areas of the industry, including heavy-duty vehicles. This article deals with the control problem of an Automatic Manual Transmission, where the actuator of the system is a double-acting f
Externí odkaz:
https://doaj.org/article/9d4787c218e149d0a9429585cd9e9642
Publikováno v:
IEEE Access, Vol 8, Pp 187470-187482 (2020)
Motion planning plays an essential role in designing self-driving functions for connected and autonomous vehicles. The methods need to provide a feasible trajectory for the vehicle to follow, fulfilling different requirements, such as safety, efficie
Externí odkaz:
https://doaj.org/article/e010a086f8e44e7b8271b00679c12999
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:18707-18718
Publikováno v:
Electronics; Volume 12; Issue 6; Pages: 1442
In this paper, we study the problem of traffic signal control in general intersections by applying a recent reinforcement learning technique. Nowadays, traffic congestion and road usage are increasing significantly as more and more vehicles enter the
Publikováno v:
IEEE Access. 10:39691-39699
Publikováno v:
Transportation Research Procedia. 62:181-188
Publikováno v:
Sustainability
Volume 15
Issue 4
Pages: 3479
Volume 15
Issue 4
Pages: 3479
The rapid growth of urbanization and the constant demand for mobility have put a great strain on transportation systems in cities. One of the major challenges in these areas is traffic congestion, particularly at signalized intersections. This proble