Zobrazeno 1 - 10
of 782
pro vyhledávání: '"S MacFarlane"'
Autor:
Piatã Marques, Edina Illyes, Shannon McCauley, Donald A. Jackson, Diana Michalakos, Ilia Maria C. Ferzoco, Laura Timms, Rosalind L. Murray, Zira S. MacFarlane, Tim P. Duval, Rebecca Dolson, Sajjad Din, Dale Pebesma, Andrea E. Kirkwood, Nicole A. Turner, Jon Clayton, Kaitlyn Horton, Christine M. Boston, Ekaterina Sapozhnikova, Marc W. Cadotte, Nicholas E. Mandrak
Publikováno v:
Ecological Solutions and Evidence, Vol 5, Iss 3, Pp n/a-n/a (2024)
Abstract Urban stormwater management ponds (SWMPs) are widely employed for stormwater control, but knowledge about their contributions to urban ecosystem function and service delivery remains unclear. We organized a workshop that brought together res
Externí odkaz:
https://doaj.org/article/b07a486bf4d94e73a184216ef5872552
Classifying Location Points as Daily Activities using Simultaneously Optimized DBSCAN-TE Parameters.
Publikováno v:
Findings (2024)
Location-based services data collected from mobile phones represent a potentially powerful source of travel behavior data, but transforming the location points into semantic activities – where and when activities occurred – is non-trivial. Existi
Externí odkaz:
https://doaj.org/article/f67fb3a3ea15415ebe3db6b5597a411a
Publikováno v:
Future Transportation, Vol 3, Iss 4, Pp 1175-1194 (2023)
Automated traffic signal performance measures (ATSPMs) have garnered significant attention for their ability to collect and evaluate real-time and historical data at signalized intersections. ATSPM data are widely utilized by traffic engineers, plann
Externí odkaz:
https://doaj.org/article/fb055b660dcd4c03b29b0fa75de72c57
Publikováno v:
Future Transportation, Vol 2, Iss 4, Pp 807-827 (2022)
Models to predict ramp meter queue length from traffic detector data are potentially useful tools in improving traffic operations and safety. Existing research, however, has been based on microscopic simulation or relied on extensive calibration of K
Externí odkaz:
https://doaj.org/article/d9c465fd9868461caa05064a1669bd81
Publikováno v:
Future Transportation, Vol 2, Iss 3, Pp 659-674 (2022)
Automated traffic signal performance measures (ATSPMs) are used to collect data concerning the current and historical performance of signalized intersections. However, transportation agencies are not using ATSPM data to the full extent of this “big
Externí odkaz:
https://doaj.org/article/9a2f9fd6d23045adaadf740ec8849527
Publikováno v:
Smart Cities, Vol 4, Iss 2, Pp 717-727 (2021)
On-demand microtransit services are frequently seen as an important tool in supporting first and last mile operations surrounding fixed route high frequency transit facilities, but questions remain surrounding who will use these novel services and fo
Externí odkaz:
https://doaj.org/article/239fa28c281646008fa53240ccb6dd58
Autor:
Nadezhda Spechenkova, Viktoriya O. Samarskaya, Natalya O. Kalinina, Sergey K. Zavriev, S. MacFarlane, Andrew J. Love, Michael Taliansky
Publikováno v:
Viruses, Vol 15, Iss 6, p 1282 (2023)
The nucleolus and Cajal bodies (CBs) are sub-nuclear domains with well-known roles in RNA metabolism and RNA-protein assembly. However, they also participate in other important aspects of cell functioning. This study uncovers a previously unrecognise
Externí odkaz:
https://doaj.org/article/15c30479f7944075a2501231cb3e3527
Publikováno v:
Findings (2021)
We report the results of an experiment to evaluate the impact of transit signal priority (TSP) on headway adherence for a bus rapid transit (BRT) system in Provo / Orem, Utah. The bus requests TSP based on its unpublished schedule, but users perceive
Externí odkaz:
https://doaj.org/article/336fb8eadd5a46e5a3acae66c412cb45
Akademický článek
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Autor:
Gregory S. Macfarlane, Nate Lant
Publikováno v:
Proceedings of the 12th International Scientific Conference on Mobility and Transport ISBN: 9789811983603
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0043db0e23874b968ae1a5246fdc4d9c
https://doi.org/10.1007/978-981-19-8361-0_10
https://doi.org/10.1007/978-981-19-8361-0_10
