Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Urmila Pyakurel"'
Publikováno v:
International Journal of Operations Research, Vol 17, Iss 1, Pp 27-39 (2020)
Traffic route guidance, destination optimization, and optimal route choice are some of the approaches to accelerate the evacuation planning process. Their effectiveness depends upon the evacuee arrival patterns at the pickup locations and their appro
Externí odkaz:
https://doaj.org/article/973c5878d2fb44229df9c2da7b3c6aab
Publikováno v:
Journal of Applied Mathematics, Vol 2022 (2022)
A maximum dynamic multicommodity flow problem concerns with the transportation of several different commodities through the specific source-sink path of an underlying capacity network with the objective of maximizing the sum of commodity flows within
Externí odkaz:
https://doaj.org/article/aa481864a6c64863bcc7ecca8596229f
Publikováno v:
European Journal of Operational Research. 305:1178-1193
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7611461d4168e8e35a844371cb78927e
https://doi.org/10.1016/j.ejor.2022.06.054
https://doi.org/10.1016/j.ejor.2022.06.054
Publikováno v:
Annals of Operations Research. 323:45-63
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e57b61e0b32bf9e25ed9e6d893989c67
https://doi.org/10.1007/s10479-023-05210-y
https://doi.org/10.1007/s10479-023-05210-y
Publikováno v:
International Journal of Mathematics and Mathematical Sciences, Vol 2021 (2021)
Motivated by applications in evacuation planning, we consider a problem of optimizing flow with arc reversals in which the transit time depends on the orientation of the arc. In the considered problems, the transit time on an arc may change when it i
Externí odkaz:
https://doaj.org/article/10769a2186084e9ea3a064b0fd585565
Publikováno v:
International Journal of Operations Research, Vol 15, Iss 3, Pp 101-133 (2018)
In the last decades, research on emergency traffic management has received high attention from the operations research community and many pioneer researchers have established it as one of the most fertile research areas. We consider the computationa
Externí odkaz:
https://doaj.org/article/fc8f5a7d5fd74095b4d1d0ca4ac04a6b
Publikováno v:
The Nepali Mathematical Sciences Report. 39:67-78
Network associated with the set of elements and linearly ordered subset of elements, known as paths, satisfying the switching property is an abstract network. Due to the switching property, flows crossing at intersections are diverted to the non-cros
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::525a6acef962ed88691e8bf24db620c8
https://doi.org/10.3126/nmsr.v39i2.51695
https://doi.org/10.3126/nmsr.v39i2.51695
Publikováno v:
GANIT: Journal of Bangladesh Mathematical Society. 42:010-024
An important aspect of evacuation planning is to save human population by sending the people in dangerous areas (sources) to the safe places (sinks). Optimization models for evacuation planning focus on regulating the tra_c ow in urban road networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e9f47c0aece7eb1190d0f9493fa3b5a
https://doi.org/10.3329/ganit.v42i1.60997
https://doi.org/10.3329/ganit.v42i1.60997
Publikováno v:
International Journal of Mathematics and Mathematical Sciences, Vol 2020 (2020)
The multicommodity flow problem arises when several different commodities are transshipped from specific supply nodes to the corresponding demand nodes through the arcs of an underlying capacity network. The maximum flow over time problem concerns to
Externí odkaz:
https://doaj.org/article/9d60daf0a5154f79b0a40c1ffee845a5
Publikováno v:
The Nepali Mathematical Sciences Report. 39:1-13
In a capacitated network, an optimum solution of the maximum flow problem is to send as much flow as possible from the source node to the sink node as efficiently as possible by satisfying the capacity and conservation constraints. But, because of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0077bfba41769b35461edcc3415a2df9
https://doi.org/10.3126/nmsr.v39i1.46912
https://doi.org/10.3126/nmsr.v39i1.46912