Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Mohammed Hamad Almannaa"'
Autor:
Mohammed Elhenawy, Mostafizur R. Komol, Mahmoud Masoud, Shi Qiang Liu, Huthaifa I. Ashqar, Mohammed Hamad Almannaa, Hesham A. Rakha, Andry Rakotonirainy
Publikováno v:
Sensors, Vol 21, Iss 14, p 4636 (2021)
Substantial research is required to ensure that micro-mobility ride sharing provides a better fulfilment of user needs. This study proposes a novel crowdsourcing model for the ride-sharing system where light vehicles such as scooters and bikes are cr
Externí odkaz:
https://doaj.org/article/cdd22e4730c54c319d70acf401cbf410
Autor:
Huthaifa I. Ashqar, Leanna House, Hesham A. Rakha, Mohammed Elhenawy, Mohammed Hamad Almannaa
Publikováno v:
Journal of Intelligent Transportation Systems. 26:602-612
The paper develops models for modeling the availability of bikes in the San Francisco Bay Area Bike Share System applying machine learning at two levels: network and station. Investigating BSSs at the station-level is the full problem that would prov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8a60e109c16acdf27bd5103dc2aa0c9
https://doi.org/10.1080/15472450.2021.1948412
https://doi.org/10.1080/15472450.2021.1948412
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 21:222-232
This paper proposes a novel supervised clustering algorithm to analyze large datasets. The proposed clustering algorithm models the problem as a matching problem between two disjoint sets of agents, namely, centroids and data points. This novel view
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74951acde023a076708416f28a258dc2
https://doi.org/10.1109/tits.2018.2890588
https://doi.org/10.1109/tits.2018.2890588
Publikováno v:
International Journal of Sustainable Transportation. 14:232-242
A significant increase in the use of a bike sharing systems (BSSs) can cause imbalances in the distribution of bikes, creating logistical challenges. Moreover, imbalanced BSSs discourage bike riders, who may find it difficult to pick up or drop off a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d71a3d21943385ccd0fd64a47e41a479
https://doi.org/10.1080/15568318.2019.1611976
https://doi.org/10.1080/15568318.2019.1611976
Publikováno v:
Transportation Research Part D: Transport and Environment. 67:244-262
This paper field implements and conducts a unique controlled field experiment designed to evaluate an Eco-Cooperative Adaptive Cruise Control (Eco-CACC) system that computes fuel-efficient trajectories that are either recommended to drivers or implem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d4983d41609bada56888e6b496e54f2
https://doi.org/10.1016/j.trd.2018.11.019
https://doi.org/10.1016/j.trd.2018.11.019
Autor:
Mostafizur Rahman Komol, Hesham A. Rakha, Shi Qiang Liu, Huthaifa I. Ashqar, Andry Rakotonirainy, Mohammed Hamad Almannaa, Mohammed Elhenawy, Mahmoud Masoud
Publikováno v:
Sensors, Vol 21, Iss 4636, p 4636 (2021)
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 14
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 14
Substantial research is required to ensure that micro-mobility ride sharing provides a better fulfilment of user needs. This study proposes a novel crowdsourcing model for the ride-sharing system where light vehicles such as scooters and bikes are cr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40a6b35f85dd4977e5704b1c7cf55a6e
https://hdl.handle.net/10919/104140
https://hdl.handle.net/10919/104140
Autor:
Hesham A. Rakha, Mahmoud Masoud, Andry Rakotonirainy, Mohammed Hamad Almannaa, Mohammed Elhenawy, Huthaifa I. Ashqar
As the Autonomous Vehicle (AV) industry is rapidly advancing, classification of non-motorized (vulnerable) road users (VRUs) becomes essential to ensure their safety and to smooth operation of road applications. The typical practice of non-motorized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76612ff0f750770ed109ac52d2827470
Autor:
Mohammed Hamad Almannaa, Leanna House, Mohammed Elhenawy, Hesham A. Rakha, Huthaifa I. Ashqar
This paper develops a novel two-layer hierarchical classifier that increases the accuracy of traditional transportation mode classification algorithms. This paper also enhances classification accuracy by extracting new frequency domain features. Many
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::085fced1b1eef11433fcb22063fd3041
http://arxiv.org/abs/2006.06945
http://arxiv.org/abs/2006.06945
Autor:
Mohammed Hamad Almannaa, Ahmed Ghanem, Huthaifa I. Ashqar, Leanna House, Mohammed Elhenawy, Hesham A. Rakha
Publikováno v:
MT-ITS
This paper models the availability of bikes at San Francisco Bay Area Bike Share stations using machine learning algorithms. Random Forest (RF) and Least-Squares Boosting (LSBoost) were used as univariate regression algorithms, and Partial Least-Squa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10b74ae6ea7280957de29ce1869ff5ff
http://arxiv.org/abs/2006.08352
http://arxiv.org/abs/2006.08352
Autor:
Andry Rakotonirainy, Mohammed Hamad Almannaa, Mahmoud Masoud, Hesham A. Rakha, Huthaifa I. Ashqar, Mohammed Elhenawy
E-scooter-sharing and e-bike-sharing systems are accommodating and easing the increased traffic in dense cities and are expanding considerably. However, these new micro-mobility transportation modes raise numerous operational and safety concerns. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45c141d9ce436a284118004ba59f4043
http://arxiv.org/abs/2006.04033
http://arxiv.org/abs/2006.04033