Zobrazeno 1 - 10
of 2 872
pro vyhledávání: '"INTELLIGENT TRANSPORT SYSTEMS"'
Publikováno v:
Sustainable Automated and Connected Transport
Publikováno v:
Интеллект. Инновации. Инвестиции, Vol 3, Pp 64-73 (2024)
The article examines topical issues of improving the transportation industry in the context of the active development and implementation of connected vehicles (CVs). The relevance of the topic is driven by the rapid growth in the number of CVs, their
Externí odkaz:
https://doaj.org/article/83d2ce9d33e14fb3b093c547ec6ce871
Publikováno v:
Sistemnyj Analiz i Prikladnaâ Informatika, Vol 0, Iss 1, Pp 26-36 (2024)
When operating automated traffic control systems and their transformation into intelligent transport systems, modern requirements are imposed on the overall parameter safety, which characterizes the quality and efficiency of road traffic, especially
Externí odkaz:
https://doaj.org/article/5be80e759b0e4627a1a9df206f3d19da
Autor:
Luis A. Curiel-Ramirez, Tobias Adlon, Peter Burggräf, Ricardo A. Ramirez-Mendoza, Moritz Beyer, Denny Gert
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract In recent years, the automotive industry has witnessed significant progress in the development of automated driving technologies. The integration of advanced sensors and systems in vehicles has led to the emergence of various functionalities
Externí odkaz:
https://doaj.org/article/48b84278554e4275a3885e9012a2c91c
Publikováno v:
IEEE Access, Vol 12, Pp 173981-174005 (2024)
Artificial intelligence (AI) plays a critical role in Intelligent Transport Systems (ITS) as urban areas grow by processing data for safety enhancements, predictive analysis, and traffic management. This results in better traffic control, lower emiss
Externí odkaz:
https://doaj.org/article/b7205bbdc01d43629216bd771ed845fe
Autor:
Roopa Tirumalasetti, Sunil Kumar Singh
Publikováno v:
IEEE Open Journal of Vehicular Technology, Vol 5, Pp 1727-1745 (2024)
Intelligent Transport Systems (ITS) rely heavily on Vehicular Ad hoc Networks (VANET) to facilitate effective communication, especially Vehicle-to-Everything (V2X) communication. However, current research has identified challenges in node management,
Externí odkaz:
https://doaj.org/article/78f7ebe6a53143c8a054231bbf54775b
Publikováno v:
IEEE Access, Vol 12, Pp 96449-96461 (2024)
Machine Learning (ML) has emerged as a promising tool for addressing complex challenges in multiple domains. In the context of Vehicular Ad-Hoc Networks (VANETs), ML has gained much more attention due to its ability to solve major known problems in a
Externí odkaz:
https://doaj.org/article/eece83633b0d4663aefaf4a3216e9a46
Publikováno v:
IEEE Access, Vol 12, Pp 93152-93170 (2024)
The increasing need for smarter means of transportation has brought a greater focus on Vehicular Ad-Hoc Networks (VANETs). VANETs are characterized by frequent topology changes due to the high node mobility, and most of the existing network protocols
Externí odkaz:
https://doaj.org/article/316a3bf768ca4f3e87bb863152499436
Autor:
Syed Muhammad Asad, Xiaoshuai Zhang, Yao Sun, Rao Naveed Bin Rais, Sajjad Hussain, Qammer H. Abbasi, Muhammad Ali Imran
Publikováno v:
IEEE Access, Vol 12, Pp 66690-66700 (2024)
The integration of private mobile networks (PMN) driven by next generation train networks (NGTNs) require a paradigm for a secure spectrum sharing with mobile network operators (MNOs) to provide privacy driven architecture. For such unprecedented per
Externí odkaz:
https://doaj.org/article/84c6f168100a4010ba62c33b49f24c4f
Publikováno v:
IEEE Access, Vol 12, Pp 62268-62278 (2024)
As Intelligent Transport Systems (ITS) continue to evolve, the quest for improving road safety and transportation efficiency has gained renewed emphasis. One of the pivotal aspects in this endeavor is the detection and analysis of driver behavior. Re
Externí odkaz:
https://doaj.org/article/c5d5cad26ed24062908e65fe2e5e93fe