Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Levente Alekszejenkó"'
Publikováno v:
SUMO Conference Proceedings, Vol 5 (2024)
Vehicular federated learning systems will be beneficial to predicting traffic events in future intelligent cities. However, they might leak private information upon model updates. Hence, an honest but curious server could infer private information, s
Externí odkaz:
https://doaj.org/article/9a8aedbda44842fa94cad1620952c07c
Publikováno v:
SUMO Conference Proceedings, Vol 4 (2023)
In transportation, a vehicle's route is one of the most private information. However, to mutually learn some phenomena in a city, for example, parking lot occupancies, we might have to reveal information about it. In this paper, we focus on assessing
Externí odkaz:
https://doaj.org/article/585a77ed84e9419ca0e82abf1ec82459
Publikováno v:
SUMO Conference Proceedings, Vol 1 (2022)
Traffic congestions cause many environmental, economic and health issues. If we are unable to completely get rid of them, the least we shall try to do is to move them outside of residential areas. In this paper, a novel signal coordination method
Externí odkaz:
https://doaj.org/article/1a935db33e1244c6a4f8d8b820be8392
Publikováno v:
SUMO Conference Proceedings, Vol 2 (2022)
The present paper shows how a novel autonomous vehicle (AV) algorithm can be tested and evaluated by multiple simulations with different levels of refinement. As the first AVs will appear on our roads (possibly) within the upcoming decade, novel t
Externí odkaz:
https://doaj.org/article/a8a3a2f42f6948b78b1dbe7cf5207b4a
Publikováno v:
IFAC-PapersOnLine. 55:7-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53b4f2d470d08b114914b19f5216cbd3
https://doi.org/10.1016/j.ifacol.2022.07.575
https://doi.org/10.1016/j.ifacol.2022.07.575
With the rapid evolution of Internet-of-Things (IoT) devices and the emergence of Autonomous Vehicles (AVs), machine learning processes pose a growing privacy issue. Federated learning (FL) and current cryptography can mitigate this problem; however,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afcf88455a1608bb4a92800098d1caeb
https://doi.org/10.21203/rs.3.rs-2072660/v1
https://doi.org/10.21203/rs.3.rs-2072660/v1
Publikováno v:
Infocommunications journal. 12:57-62
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9be9d86c933e831c37c46c140d84a42d
https://doi.org/10.36244/icj.2020.2.8
https://doi.org/10.36244/icj.2020.2.8
Publikováno v:
Proceedings of the 29th Minisymposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::614b595fb398eb0b3986eb5b2b6c31b4
https://doi.org/10.3311/minisy2022-013
https://doi.org/10.3311/minisy2022-013
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030551797
IntelliSys (1)
IntelliSys (1)
Congested urban traffic frequently deviates toward residential areas, where due to local conditions congestion builds up quickly. The increasing traffic flow there causes health, environmental and safety problems. A pragmatic solution is to make thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67a0ce56ef04ac12a5498a1e5dc2a8e0
https://doi.org/10.1007/978-3-030-55180-3_3
https://doi.org/10.1007/978-3-030-55180-3_3
Publikováno v:
SUMO
Starting from the problems of nowadays’ urban traffic (congestions, imperfect timing of traffic lights, high impact of lane changes) we investigate the feasibility of a cooperative intelligent agent based solution as an overall control scheme gover
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d43e7917f6b4575de4a06f5f6e1e6e64
https://doi.org/10.29007/sc13
https://doi.org/10.29007/sc13