Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Kouros Mohammadian"'
Publikováno v:
International Journal of Transportation Science and Technology, Vol 6, Iss 4, Pp 344-355 (2017)
Supplier evaluation and selection problem is among the most important of logistics decisions that have been addressed extensively in supply chain management. The same logistics decision is also important in freight transportation since it identifies
Externí odkaz:
https://doaj.org/article/237df0dbcafc45568b17c56674ba1cb6
Interrelationships between urban travel demand and electricity consumption: a deep learning approach
Autor:
Ali Movahedi, Amir Bahador Parsa, Anton Rozhkov, Dongwoo Lee, Abolfazl Kouros Mohammadian, Sybil Derrible
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract The analysis of infrastructure use data in relation to other components of the infrastructure can help better understand the interrelationships between infrastructures to eventually enhance their sustainability and resilience. In this study,
Externí odkaz:
https://doaj.org/article/c8f334999d7c45439949328344addd6c
Autor:
Homa Taghipour, Amir Bahador Parsa, Rishabh Singh Chauhan, Sybil Derrible, Abolfazl (Kouros) Mohammadian
Publikováno v:
IATSS Research, Vol 46, Iss 1, Pp 122-129 (2022)
Crash is one of the leading causes of death in the United States. Real time detection of crashes plays a pivotal role in increasing safety of highways. In this study, a deep ensemble modelling approach is proposed in which we first employed three pow
Externí odkaz:
https://doaj.org/article/86ff80f9823e483aad5b32e10af3a6b2
Publikováno v:
In Transportation Research Part F: Psychology and Behaviour August 2021 81:271-281
Publikováno v:
In Transportation Research Part A November 2020 141:469-484
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 13, Iss , Pp 100539- (2022)
Freight transportation has major economic, energy, and sustainability impacts. As a result, forecasting tools for analyzing policy scenarios are critical. However, existing freight transportation modeling tools have major gaps, especially in agent re
Externí odkaz:
https://doaj.org/article/6530fea2ac4f43ec84427cd25230b377
Autor:
Rishabh Singh Chauhan, Denise Capasso da Silva, Deborah Salon, Ali Shamshiripour, Ehsan Rahimi, Uttara Sutradhar, Sara Khoeini, Abolfazl (Kouros) Mohammadian, Sybil Derrible, Ram Pendyala
Publikováno v:
Findings (2021)
This study identifies differences in COVID-19 related attitudes and risk perceptions among urban, rural, and suburban populations in the US using data from an online, nationwide survey collected during April-October 2020. In general, rural respondent
Externí odkaz:
https://doaj.org/article/7a836d3eed8d456ea339e345141a97c0
Autor:
Denise Capasso da Silva, Sara Khoeini, Deborah Salon, Matthew W. Conway, Rishabh S. Chauhan, Ram M. Pendyala, Ali Shamshiripour, Ehsan Rahimi, Tassio Magassy, Abolfazl (Kouros) Mohammadian, Sybil Derrible
Publikováno v:
Findings (2021)
This article uses data from the first wave of the COVID Future Panel study to evaluate attitudes towards COVID-19 and their influence on traveler behaviors. An exploratory factor analysis identified two underlying constructs based on the measured att
Externí odkaz:
https://doaj.org/article/b30a48a33a9b4466a136b87aaf014129
Autor:
Laura Mirtich, Matthew Wigginton Conway, Deborah Salon, Peter Kedron, Rishabh Singh Chauhan, Sybil Derrible, Sara Khoeini, Abolfazl (Kouros) Mohammadian, Ehsan Rahimi, Ram Pendyala
Publikováno v:
Findings (2021)
The utility of attitudes in travel demand forecasting requires predictability. Any attempt to simulate future attitudes, as is done in such models, would be impractical if they were subject to substantial unpredictable variation over time. We investi
Externí odkaz:
https://doaj.org/article/b113ea74340a46539ab2595925e1f35c
Publikováno v:
Procedia Computer Science. 220:180-186