Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Adriana-Simona Mihaita"'
The proposed IncidentResponseGPT framework - a novel system that applies generative artificial intelligence (AI) to potentially enhance the efficiency and effectiveness of traffic incident response. This model allows for synthesis of region-specific
Externí odkaz:
http://arxiv.org/abs/2404.18550
Autor:
Diego M. Botín-Sanabria, Adriana-Simona Mihaita, Rodrigo E. Peimbert-García, Mauricio A. Ramírez-Moreno, Ricardo A. Ramírez-Mendoza, Jorge de J. Lozoya-Santos
Publikováno v:
Remote Sensing, Vol 14, Iss 6, p 1335 (2022)
A digital twin is a virtual representation of a physical object or process capable of collecting information from the real environment to represent, validate and simulate the physical twin’s present and future behavior. It is a key enabler of data-
Externí odkaz:
https://doaj.org/article/cbd343cf6e4c43a5b0154b735b41b2e4
Publikováno v:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
Recently, the problem of traffic accident risk forecasting has been getting the attention of the intelligent transportation systems community due to its significant impact on traffic clearance. This problem is commonly tackled in the literature by us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45c3b1a2b7f22a76e3cd46c5ad53f6ff
Autor:
Dong Zhao, Adriana-Simona Mihaita, Yuming Ou, Sajjad Shafiei, Hanna Grzybowska, Kai Qin, Gary Tan, Mo Li, Hussein Dia
A multi-modal transport system is acknowledged to have robust failure tolerance and can effectively relieve urban congestion issues. However, estimating the impact of disruptions across multi-transport modes is a challenging problem due to a dis-aggr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76b49847f5f5e572c6dc49961aba6bd5
https://hdl.handle.net/10453/164822
https://hdl.handle.net/10453/164822
Predicting the traffic incident duration is a hard problem to solve due to the stochastic nature of incident occurrence in space and time, a lack of information at the beginning of a reported traffic disruption, and lack of advanced methods in transp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82dc2dbf1aefabaeed2e0b97bf03502d
Autor:
Ankit R. Patel, Gargi Trivedi, Dhaval R. Vyas, Adriana-Simona Mihaita, Sanjeevikumar Padmanaban
In recent years, trends towards user-centered technology are increasing due to various social, economic, and environmental aspects. Concurrently, the success of electromobility is highly dependent on how we provide the charging facility and the secur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b91fa912f9cd0d416778ae8f3e0fed88
https://hdl.handle.net/10453/164824
https://hdl.handle.net/10453/164824
Publikováno v:
ITSC
This paper explores the impact of electric vehicles (EVs) on traffic congestion and energy consumption by proposing an integrated bi-level framework comprising of: a) a dynamic micro-scale traffic simulation suitable for modelling current and hypothe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e833ea732ab74db6473271dc7777f58
http://arxiv.org/abs/2110.14064
http://arxiv.org/abs/2110.14064
Publikováno v:
Transportation Research Part C: Emerging Technologies. 141:103721
Predicting the duration of traffic incidents is a challenging task due to the stochastic nature of events. The ability to accurately predict how long accidents will last can provide significant benefits to both end-users in their route choice and tra
Traffic control optimization is a challenging task for various traffic centers around the world and the majority of existing approaches focus only on developing adaptive methods under normal (recurrent) traffic conditions. Optimizing the control plan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::359bef6ee01a3ce61dc100f26490c700
https://hdl.handle.net/10453/152765
https://hdl.handle.net/10453/152765