Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Brendan J. Russo"'
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 18, Iss , Pp 100789- (2023)
The recent deployment of sidewalk autonomous delivery robots (SADRs) across university campuses has offered students, staff, and faculty a convenient option for food delivery to their residences or workplaces. However, these low-speed automated food
Externí odkaz:
https://doaj.org/article/60e94e6778b8454385578e9a8d2e9c9b
Publikováno v:
Journal of Transportation Safety & Security. :1-19
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d0e3ce25d74b6c4af38a7a83038cbf3
https://doi.org/10.1080/19439962.2023.2201176
https://doi.org/10.1080/19439962.2023.2201176
Publikováno v:
Safety Science. 164:106187
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efb08544dde8eb3392b98919426ae6ab
https://doi.org/10.1016/j.ssci.2023.106187
https://doi.org/10.1016/j.ssci.2023.106187
Autor:
Brendan J. Russo, Katherine R. Riffle, Timothy G. Reardon, Steven R. Gehrke, Edward J. Smaglik, Bita Sadeghinasr
Publikováno v:
Journal of Transportation Safety & Security. 14:1798-1814
In recent years, a rush of privately-owned shared micromobility services has descended on many American cities. The increased availability in these emergent mobility options, which include dockless...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b65783cc1f27f68059cb3063520d9ec6
https://doi.org/10.1080/19439962.2021.1971813
https://doi.org/10.1080/19439962.2021.1971813
Publikováno v:
Journal of Transportation Safety & Security. 14:973-1001
Recently, there has been an increasing trend in traffic crash fatalities in the United States, including the State of Arizona. Given this fact, it is imperative to analyze factors that affect crash...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75aaab6de80298334d2193c8277264b9
https://doi.org/10.1080/19439962.2020.1869875
https://doi.org/10.1080/19439962.2020.1869875
Autor:
Steven Como, Niraj Altekar, Maria Soledad Elli, Emmanuel James, Brendan J. Russo, John C. Weast, Jeffrey Wishart, Yan Chen
Publikováno v:
SAE International Journal of Advances and Current Practices in Mobility. 2:2881-2899
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75a7f4234d86d39d39d6442cfca89a45
https://doi.org/10.4271/2020-01-1206
https://doi.org/10.4271/2020-01-1206
Publikováno v:
Journal of Transportation Safety & Security. 13:1263-1281
Pedestrian-train collisions at highway-railroad grade crossings (HRGCs), though relatively rare events, often result in severe injuries or fatalities. In the ten year period from 2008-2017, there w...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b1b27cd6a565a4256f0557cd10740d6
https://doi.org/10.1080/19439962.2020.1726545
https://doi.org/10.1080/19439962.2020.1726545
Autor:
Brendan J. Russo, Emmanuel James
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2673:345-354
Reducing fatal and serious injuries sustained in traffic crashes on tribal lands is a priority of federal, state, and local agencies in the United States. In the state of Arizona, the proportion of fatal and severe injury crashes on several areas of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a976c1612fd86a4113a7fac970874c22
https://doi.org/10.1177/0361198119847613
https://doi.org/10.1177/0361198119847613
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2673:175-187
Extreme weather conditions such as strong winds, hail, heavy rainfall, heavy snowfall, and high air temperature impact roads, traffic, and operational decisions. Strong winds in arid regions may pick up fine dust particles and create massive blowing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38e5c0e1bfedcebbc7718a1b1a28ba28
https://doi.org/10.1177/0361198119839978
https://doi.org/10.1177/0361198119839978
Publikováno v:
Environments
Volume 7
Issue 11
Environments, Vol 7, Iss 102, p 102 (2020)
Volume 7
Issue 11
Environments, Vol 7, Iss 102, p 102 (2020)
This study aims to develop a hybrid approach based on backpropagation artificial neural network (ANN) and spatial analysis techniques to predict particulate matter of size 2.5 µ
m (PM2.5) from vehicle exhaust emissions in the State of Calif
m (PM2.5) from vehicle exhaust emissions in the State of Calif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2b4f24e07b24936a72d9384cf765628