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of 6
pro vyhledávání: '"Abdul Rashid Mussah"'
Autor:
Abdul Rashid Mussah, Yaw Adu-Gyamfi
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 24, Iss , Pp 101051- (2024)
The analysis of factors that influence the occurrence of roadway crashes within a specified locality have historically been reliant on the assessment of physical infrastructure, historical crash frequency, environmental factors and driver characteris
Externí odkaz:
https://doaj.org/article/c720d35ad20f44f4a6f0fe46cf75af5e
Autor:
Yaw Adu-Gyamfi, Abdul Rashid Mussah
Publikováno v:
Sustainability; Volume 14; Issue 22; Pages: 15348
Assessment of roadway safety in real-time is a necessary component for providing proactive safety countermeasures to ensure the continued safety and efficiency of roadways. A framework for utilizing data from connected vehicles and other probe source
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9522ccea9f18d1b24e67d5e623afa54e
Publikováno v:
IEEE BigData
Automatic detection and classification of pavement distresses is critical in timely maintaining and rehabilitating pavement surfaces. With the evolution of deep learning and high performance computing, the feasibility of vision-based pavement defect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ab08bfcb37f978ce8f5c4291d03361f
https://doi.org/10.1109/bigdata50022.2020.9378047
https://doi.org/10.1109/bigdata50022.2020.9378047
Manual traffic surveillance can be a daunting task as Traffic Management Centers operate a myriad of cameras installed over a network. Injecting some level of automation could help lighten the workload of human operators performing manual surveillanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f13401134bcc3970617e8e16f49d9b88
Publikováno v:
Sustainability
Volume 12
Issue 21
Sustainability, Vol 12, Iss 9177, p 9177 (2020)
Volume 12
Issue 21
Sustainability, Vol 12, Iss 9177, p 9177 (2020)
Manual traffic surveillance can be a daunting task as Traffic Management Centers operate a myriad of cameras installed over a network. Injecting some level of automation could help lighten the workload of human operators performing manual surveillanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2399eef308eb9cc296fb6d483f660ef0
https://doi.org/10.3390/su12219177
https://doi.org/10.3390/su12219177
Autor:
Mussah, Abdul Rashid, Adu-Gyamfi, Yaw
Publikováno v:
Sustainability (2071-1050); Nov2022, Vol. 14 Issue 22, p15348, 16p