Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Ahmed Hamdi Sakr"'
Autor:
Ahmed Hamdi Sakr
Publikováno v:
IEEE Access, Vol 12, Pp 137696-137711 (2024)
Collective perception enables connected vehicles to share detailed environmental data, significantly enhancing situational awareness and safety. This data sharing is crucial for the functioning of modern vehicular networks, but it introduces the chal
Externí odkaz:
https://doaj.org/article/4304aa207f7b4c5cb42cae4f4cfead1d
Autor:
Hao M. Wang, Sergei S. Avedisov, Tamás G. Molnár, Ahmed Hamdi Sakr, Onur Altintas, Gábor Orosz
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 8:1105-1118
In this paper, we establish the concept of conflict analysis and demonstrate its applicability to aid the decision making of vehicles at different levels of automation and cooperation. In particular, we assume that the participating vehicles are equi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67e17548e685da25e0f091a49d021bfb
https://doi.org/10.1109/tiv.2022.3149796
https://doi.org/10.1109/tiv.2022.3149796
Publikováno v:
IEEE Vehicular Technology Magazine. 16:129-136
This article showcases a perceived safety analysis framework to assess the awareness of connected vehicles (CVs) of surrounding safety-critical vehicles. We study two classes of messages that a CV can transmit: 1) messages containing information abou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f3e562aa76a02d4b064ed5d0b4c5eab
https://doi.org/10.1109/mvt.2021.3076982
https://doi.org/10.1109/mvt.2021.3076982
Publikováno v:
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47bee303743919b9cb759e1502b61d5f
https://doi.org/10.1109/vtc2022-spring54318.2022.9860973
https://doi.org/10.1109/vtc2022-spring54318.2022.9860973
Autor:
Zheng Chen, Ahmed Hamdi Sakr, Byungkyu Park, Sergei Avedisov, Rui Guo, Seunghan Ryu, Tianye Wang, Zeyu Mu
Publikováno v:
ITSC
In this paper, we investigated the performance of cooperative adaptive cruise control (CACC) algorithms in mixed traffic environments featuring connected automated vehicles (CAVs) and unconnected vehicles. For CAVs, we tested the recently proposed li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b787739005243b254db7cb0093a99e0f
https://doi.org/10.1109/itsc48978.2021.9565099
https://doi.org/10.1109/itsc48978.2021.9565099
Publikováno v:
2021 IEEE Intelligent Vehicles Symposium (IV).
In this paper, we propose an optimization-based strategy that utilizes vehicle-to-everything (V2X) communication in order to resolve conflicts between vehicles of different automation levels. The strategy consists of a decision checking mechanism and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7df42734491a74b5b645c564a6f5d699
https://doi.org/10.1109/iv48863.2021.9575586
https://doi.org/10.1109/iv48863.2021.9575586
Autor:
Alejandro Correa, Rafael Molina-Masegosa, Miguel Sepulcre, Sergei Avedisov, Javier Gozalvez, Ahmed Hamdi Sakr, Onur Altintas
Publikováno v:
VTC Spring
Connected and automated vehicles (CAVs) are expected to make use of Vehicle-to-Everything (V2X) communication to exchange sensor and trajectory data. Using this data, CAVs can coordinate their maneuvers for safer and more efficient driving. ETSI and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c3f80cbe1e75e6fba7583fcea32358c
https://doi.org/10.1109/vtc2021-spring51267.2021.9448700
https://doi.org/10.1109/vtc2021-spring51267.2021.9448700
A comprehensive vehicular network analysis requires modeling the street system and vehicle locations. Even when Poisson point processes (PPPs) are used to model the vehicle locations on each street, the analysis is barely tractable. That holds for ev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e109889a76d79522b97fc329c081c840
Autor:
Ahmed Hamdi Sakr
Publikováno v:
CAVS
Traffic in the near future is expected to be a mix of legacy vehicles with limited number of on-board sensors and sensor-rich vehicles with advanced sensing capabilities and different levels of automation. In this work, we propose a novel framework t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ee72c790291a721e4d519957a04e562
https://doi.org/10.1109/cavs51000.2020.9334579
https://doi.org/10.1109/cavs51000.2020.9334579
Publikováno v:
VTC-Fall
Continuous and reliable flow of navigation information is a pressing need for safer and smarter transportation systems. Vehicles with various levels of autonomy are now penetrating the markets. However, legacy vehicles (LVs) constitute a large portio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12f185961d5c99781e2094189d2b7391
https://doi.org/10.1109/vtc2020-fall49728.2020.9348508
https://doi.org/10.1109/vtc2020-fall49728.2020.9348508