Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Alexei Pozdnoukhov"'
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 19:1682-1696
Activity-based travel demand models are becoming essential tools used in transportation planning and regional development scenario evaluation. They describe travel itineraries of individual travelers, namely, what activities they are participating in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bed60a4c7db88c8595d061b93fa0179
https://doi.org/10.1109/tits.2017.2695438
https://doi.org/10.1109/tits.2017.2695438
Autor:
Alexei Pozdnoukhov, Sid Feygin
Publikováno v:
Transportation Research Part C: Emerging Technologies. 87:26-45
This paper explores the utility of peer pressure as an actionable mechanism to induce socially responsible and environmentally-conscious mobility habits. We adopt a two-stage game theoretic model of peer pressure to investigate feedback between socia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52143af08c21b352684dc8a88fdcd554
https://doi.org/10.1016/j.trc.2017.12.008
https://doi.org/10.1016/j.trc.2017.12.008
Publikováno v:
SSRN Electronic Journal.
Agent-based modeling in transportation problems requires detailed information on each of the agents that represent the population in the region of a study. To extend the agent-based transportation modeling with social influence, a connected synthetic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d571fd4fe58aef0180ff8ad814a414a
https://doi.org/10.2139/ssrn.3379496
https://doi.org/10.2139/ssrn.3379496
Autor:
Alexei Pozdnoukhov, Mikhail Kanevski
Publikováno v:
Stochastic Environmental Research and Risk Assessment, vol. 22, pp. 647-660
The algorithmic approach to data modelling has developed rapidly these last years, in particular methods based on data mining and machine learning have been used in a growing number of applications. These methods follow a data-driven methodology, aim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c2f7a3b9bf04e1cab07035ae7f26163
http://doc.rero.ch/record/321988/files/477_2007_Article_162.pdf
http://doc.rero.ch/record/321988/files/477_2007_Article_162.pdf
Publikováno v:
Transportation Research Procedia. 7:212-232
A new convex optimization framework is developed for the route flow estimation problem from the fusion of vehicle count and cellular network data. The issue of highly underdetermined link flow based methods in transportation networks is investigated,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5243919e5295e64b6a2ab44820c3290f
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 5:1-16
This article introduces a microsimulation of urban traffic flows within a large-scale scenario implemented for the Greater Dublin region in Ireland. Traditionally, the data available for traffic simulations come from a population census and dedicated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2fe400ee04c747a376bac6e86e255f2
https://doi.org/10.1145/2517028
https://doi.org/10.1145/2517028
Autor:
Alexei Pozdnoukhov, Christian Kaiser
Publikováno v:
Pervasive and Mobile Computing. 9:708-721
An algorithmic architecture for kernel-based modelling of data streams from city sensing infrastructures is introduced. It is both applicable for pre-installed, moving and extemporaneous sensors, including the “citizen-as-a-sensor” view on user-g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca41508e1c985512f159ad568162bed8
https://doi.org/10.1016/j.pmcj.2012.11.003
https://doi.org/10.1016/j.pmcj.2012.11.003
Publikováno v:
CODS
Location based services and Geospatial web applications have become popular in recent years due to wide adoption of mobile devices. Search and recommendation of places or Points of Interests (PoIs) are prominent services available on them. The effect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8913a9cdadd8e6d801a65b78f97166d
https://doi.org/10.1145/2888451.2888477
https://doi.org/10.1145/2888451.2888477
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 50:2954-2967
In this paper, we develop a data-driven methodology to characterize the likelihood of orographic precipitation enhancement using sequences of weather radar images and a digital elevation model (DEM). Geographical locations with topographic characteri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be63d64f95a8e29a97b3e6cc3742269a
https://doi.org/10.1109/tgrs.2011.2179550
https://doi.org/10.1109/tgrs.2011.2179550