Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Hossam M. Abdelghaffar"'
Publikováno v:
IEEE Open Journal of Vehicular Technology, Vol 5, Pp 927-939 (2024)
Autonomous vehicles will be widely operated on roadways in the near future. Prior to the broad adoption of autonomous vehicles (AVs), conventional human-driven vehicles would coexist with their AVs counterparts on the same roads, resulting in traffic
Externí odkaz:
https://doaj.org/article/ef27caecbe8241318f4e0dc29eda940f
Autor:
Hossam M. Abdelghaffar, Moumena Chaqfeh, Nadja Fejzic, Talal Rahwan, Yasir Zaki, Monica Menendez
Publikováno v:
IEEE Access, Vol 11, Pp 25455-25466 (2023)
The number of Autonomous Vehicles (AVs) coexisting with conventional human-driven vehicles is expected to increase significantly in the coming years. This coexistence will last decades before full AV adoption is achieved worldwide. However, the cauti
Externí odkaz:
https://doaj.org/article/73602655a089475db226f195c4f6f273
Publikováno v:
IEEE Access, Vol 8, Pp 99219-99226 (2020)
Traffic congestion is a major challenge in urban areas, and is associated with longer travel times, increased vehicle emissions, and numerous vehicle crashes. Creating an efficient mobility system is difficult, given that each driver is usually tryin
Externí odkaz:
https://doaj.org/article/a12a53cf4db9492f859af0c0d4974940
Publikováno v:
Sensors, Vol 21, Iss 1, p 274 (2021)
This paper compares the operation of a decentralized Nash bargaining traffic signal controller (DNB) to the operation of state-of-the-art adaptive and gating traffic signal control. Perimeter control (gating), based on the network fundamental diagram
Externí odkaz:
https://doaj.org/article/2213c0327530471a88ae4798459e8710
Publikováno v:
Sensors, Vol 20, Iss 15, p 4066 (2020)
The paper presents a nonlinear filtering approach to estimate the traffic stream density on signalized approaches based solely on connected vehicle (CV) data. Specifically, a particle filter (PF) is developed to produce reliable traffic density estim
Externí odkaz:
https://doaj.org/article/351cd060f7ba460b8c8ecab957269286
Publikováno v:
Sensors, Vol 19, Iss 19, p 4325 (2019)
This paper presents a novel model for estimating the number of vehicles along signalized approaches. The proposed estimation algorithm utilizes the adaptive Kalman filter (AKF) to produce reliable traffic vehicle count estimates, considering real-tim
Externí odkaz:
https://doaj.org/article/ace5bd1a1d9844bdbb3e3277414cb5ae
Publikováno v:
Sensors, Vol 19, Iss 10, p 2282 (2019)
This paper presents a novel de-centralized flexible phasing scheme, cycle-free, adaptive traffic signal controller using a Nash bargaining game-theoretic framework. The Nash bargaining algorithm optimizes the traffic signal timings at each signalized
Externí odkaz:
https://doaj.org/article/5d95bfc513d3477092c2bce32256680c
Publikováno v:
SN Computer Science. 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e354bf92b40e206f37a7ba514e88cbe
https://doi.org/10.1007/s42979-022-01213-x
https://doi.org/10.1007/s42979-022-01213-x
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 22:231-242
The paper presents a novel de-centralized traffic signal controller, achieved using a Nash bargaining game-theoretic framework, that operates a flexible phasing sequence to adapt to dynamic changes in traffic demand levels. The Nash bargaining algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0d9228f242284c11a9b40b1e2fcca82
https://doi.org/10.1109/tits.2019.2955918
https://doi.org/10.1109/tits.2019.2955918
Publikováno v:
IEEE Access, Vol 8, Pp 99219-99226 (2020)
Traffic congestion is a major challenge in urban areas, and is associated with longer travel times, increased vehicle emissions, and numerous vehicle crashes. Creating an efficient mobility system is difficult, given that each driver is usually tryin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85cf2c5933e1f6b442598562b2b57bc3
https://ieeexplore.ieee.org/document/9096316/
https://ieeexplore.ieee.org/document/9096316/