Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Saeed Vasebi"'
Publikováno v:
IEEE Access, Vol 11, Pp 13636-13646 (2023)
Transportation sector and its impacts on climate change have received much attention over the last decade. Energy-optimal vehicle control algorithms such as adaptive cruise control can potentially reduce fuel consumption and the consequential environ
Externí odkaz:
https://doaj.org/article/c65b4230714a4b8aa1e2560789f37321
Autor:
Saeed Vasebi, Yeganeh M. Hayeri
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 7, Iss , Pp 100194- (2020)
Reduction of the transportation sector's air emissions has been an essential goal for decreasing the emissions' externalities and slowing climate change. This study evaluated the emission impacts of low-level automated vehicles (LAVs) in 86 metropoli
Externí odkaz:
https://doaj.org/article/d1e501de1fb34514892aefad4e5f12b2
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2675:623-640
Relatively recent increased computational power and extensive traffic data availability have provided a unique opportunity to re-investigate drivers’ car-following (CF) behavior. Classic CF models assume drivers’ behavior is only influenced by th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b99c4b198e2473fc34167c7c37fa87e3
https://doi.org/10.1177/03611981211018693
https://doi.org/10.1177/03611981211018693
Autor:
Saeed Vasebi, Yeganeh M. Hayeri
Publikováno v:
International Conference on Transportation and Development 2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbc74bbed6481a03c7627507d820672b
https://doi.org/10.1061/9780784483541.002
https://doi.org/10.1061/9780784483541.002
Autor:
Yeganeh M. Hayeri, Saeed Vasebi
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 7, Iss, Pp 100194-(2020)
Reduction of the transportation sector's air emissions has been an essential goal for decreasing the emissions' externalities and slowing climate change. This study evaluated the emission impacts of low-level automated vehicles (LAVs) in 86 metropoli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::262e9621c524bf080b8086256d9c4db1
http://www.sciencedirect.com/science/article/pii/S2590198220301056
http://www.sciencedirect.com/science/article/pii/S2590198220301056
Low-Level Automated Light-Duty Vehicle Technologies Provide Opportunities to Reduce Fuel Consumption
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2672:60-74
Gasoline is the main source of energy used for surface transportation in the United States. Reducing fuel consumption in light-duty vehicles can significantly reduce the transportation sector’s impact on the environment. Implementation of emerging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca333ddebf9b6ed451c7b679e11c0183
https://doi.org/10.1177/0361198118796401
https://doi.org/10.1177/0361198118796401
Autor:
Yeganeh M. Hayeri, Saeed Vasebi
Publikováno v:
Sustainability
Volume 13
Issue 16
Sustainability, Vol 13, Iss 8943, p 8943 (2021)
Volume 13
Issue 16
Sustainability, Vol 13, Iss 8943, p 8943 (2021)
The transportation sector is the largest producer of greenhouse gas (GHG) emissions in the United States. Energy-optimal algorithms are proposed to reduce the transportation sector’s fuel consumption and emissions. These algorithms optimize vehicle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b1051caece9badc01557e860f20b4f8
https://doi.org/10.3390/su13168943
https://doi.org/10.3390/su13168943