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pro vyhledávání: '"Parsa, Amir Bahador"'
Different passenger demand rates in transit stations underscore the importance of adopting operational strategies to provide a demand-responsive service. Aiming at improving passengers' travel time, the present study introduces an advanced data-drive
Externí odkaz:
http://arxiv.org/abs/2109.08786
Applying Deep Learning to Detect Traffic Accidents in Real Time Using Spatiotemporal Sequential Data
Autor:
Parsa, Amir Bahador, Chauhan, Rishabh Singh, Taghipour, Homa, Derrible, Sybil, Mohammadian, Abolfazl
Accident detection is a vital part of traffic safety. Many road users suffer from traffic accidents, as well as their consequences such as delay, congestion, air pollution, and so on. In this study, we utilize two advanced deep learning techniques, L
Externí odkaz:
http://arxiv.org/abs/1912.06991
Autor:
Taghipour, Homa, Parsa, Amir Bahador, Chauhan, Rishabh Singh, Derrible, Sybil, Mohammadian, Abolfazl (Kouros)
Publikováno v:
In IATSS Research April 2022 46(1):122-129
Autor:
Movahedi, Ali1 (AUTHOR) allimovahedi@gmail.com, Parsa, Amir Bahador1 (AUTHOR), Rozhkov, Anton2 (AUTHOR), Lee, Dongwoo3 (AUTHOR), Mohammadian, Abolfazl Kouros1 (AUTHOR), Derrible, Sybil1,4 (AUTHOR)
Publikováno v:
Scientific Reports. 4/17/2023, Vol. 13 Issue 1, p1-13. 13p.
Publikováno v:
In International Journal of Transportation Science and Technology December 2020 9(4):355-365
Autor:
Parsa, Amir Bahador *, Movahedi, Ali, Taghipour, Homa, Derrible, Sybil, Mohammadian, Abolfazl (Kouros)
Publikováno v:
In Accident Analysis and Prevention March 2020 136
Publikováno v:
In Accident Analysis and Prevention August 2019 129:202-210
Publikováno v:
International Conference on Transportation and Development 2022.
Different passenger demand rates in transit stations underscore the importance of adopting operational strategies to provide a demand-responsive service. Aiming at improving passengers' travel time, the present study introduces an advanced data-drive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c5efa886162dd17f63a374e8f964d6b
https://doi.org/10.1061/9780784484319.016
https://doi.org/10.1061/9780784484319.016
Autor:
Parsa, Amir Bahador
In this dissertation, the main objective is to propose innovative data and methods to model and improve traffic operation and management in three directions: detecting and analyzing the occurrence of accidents in highways in real-time, improving the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cd5498b79c67abcac3467349d5f0b6f
Akademický článek
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