Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Luis Miranda-Moreno"'
Publikováno v:
Findings (2022)
Transport modelling requires accurate and usually hard to find intersection control rules. The widespread of smartphone applications enabled the automatic collection of road network-related data that can contribute to and improve transport modelling.
Externí odkaz:
https://doaj.org/article/21bb419c176947f49b930700e7fea2e2
Autor:
Annie Chang, Luis Miranda-Moreno
Publikováno v:
Findings (2022)
We explored the effects of the COVID-19 pandemic on ride hailing trips in New York City between February 1, 2019 and July 31, 2021. Using negative binomial regression models, we quantified the effects of COVID-19 indicators on daily ride hailing trip
Externí odkaz:
https://doaj.org/article/6b64613876b14473a8d0b6d8d368d3ab
Publikováno v:
Journal of Advanced Transportation, Vol 2019 (2019)
This study provides a literature review of the simulation-based connected and automated intelligent-vehicle studies. Media and car-manufacturing companies predict that connected and automated vehicles (CAVs) would be available in the near future. How
Externí odkaz:
https://doaj.org/article/5aa1a5641c3448dba98fda03db08e0e6
Autor:
Bernardo Teufel, Laxmi Sushama, Vincent Poitras, Tarek Dukhan, Stéphane Bélair, Luis Miranda-Moreno, Lijun Sun, Agus P. Sasmito, Girma Bitsuamlak
Publikováno v:
Atmosphere, Vol 12, Iss 2, p 243 (2021)
Governments around the world have implemented measures to slow down the spread of COVID-19, resulting in a substantial decrease in the usage of motorized transportation. The ensuing decrease in the emission of traffic-related heat and pollutants is e
Externí odkaz:
https://doaj.org/article/6d6b5f445cd84adbb182cda174d04eb4
Publikováno v:
Journal of Advanced Transportation, Vol 2017 (2017)
Vision-based monitoring systems using visible spectrum (regular) video cameras can complement or substitute conventional sensors and provide rich positional and classification data. Although new camera technologies, including thermal video sensors, m
Externí odkaz:
https://doaj.org/article/0c4bcf68ba544d998ac167ef7a0894b2
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::751448db3693511313acd5745a03968e
https://doi.org/10.1109/tnnls.2023.3252175
https://doi.org/10.1109/tnnls.2023.3252175
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:19064-19075
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::462bc6aa5c52a56e409d87085c1b848b
https://doi.org/10.1109/tits.2022.3157129
https://doi.org/10.1109/tits.2022.3157129
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2677:551-564
Human-driving behavior at signalized intersections may lack efficiency because drivers try to reach their desired speed without the upcoming traffic-signal information. This causes idling time, sharp accelerations, hard braking, traffic congestion, e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c70941fae33c4f5e8c6d0c686d85087
https://doi.org/10.1177/03611981221115725
https://doi.org/10.1177/03611981221115725
Publikováno v:
Accident; analysis and prevention. 180
A pedestrian countdown signal (PCS) is designed to provide additional information to pedestrians at crossings and help their crossing decisions. However, the PCS information can also affect drivers' behaviors when it is visible to drivers. With the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8f992e70243a3c11af7b48c63792786
https://pubmed.ncbi.nlm.nih.gov/36470159
https://pubmed.ncbi.nlm.nih.gov/36470159
Autor:
Ehsan Moradi, Luis Miranda-Moreno
Publikováno v:
Sustainability, Vol 14, Iss 1900, p 1900 (2022)
Sustainability; Volume 14; Issue 3; Pages: 1900
Sustainability; Volume 14; Issue 3; Pages: 1900
The serially-correlated nature of engine operation is overlooked in the vehicular fuel and emission modeling literature. Furthermore, enabling the calibration and use of time-series models for instrument-independent eco-driving applications requires
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb8f793eccccfedc45e211e9714cd1b3
https://www.mdpi.com/2071-1050/14/3/1900
https://www.mdpi.com/2071-1050/14/3/1900