Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Route flow estimation"'
Publikováno v:
In Transportation Research Part C November 2022 144
Publikováno v:
In Computers and Operations Research February 2022 138
Akademický článek
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Publikováno v:
In Transportation Research Part C October 2015 59:111-128
Publikováno v:
RUIdeRA. Repositorio Institucional de la UCLM
instname
Sustainability
Volume 13
Issue 8
Sustainability, Vol 13, Iss 4430, p 4430 (2021)
instname
Sustainability
Volume 13
Issue 8
Sustainability, Vol 13, Iss 4430, p 4430 (2021)
The traffic flow on road networks is dynamic in nature. Hence, a model for dynamic traffic flow estimation should be a very useful tool for administrations to make decisions aimed at better management of traffic. In fact, these decisions may in turn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a66692e2ff01a13b4346a6800bee5dbd
http://hdl.handle.net/10578/29742
http://hdl.handle.net/10578/29742
Autor:
Fernando Álvarez-Bazo, Raffaele Cerulli, Ana Rivas, Monica Gentili, Santos Sánchez-Cambronero
It is well known that the location of Automatic Vehicle Identification (AVI) sensors on a traffic network for route flow estimation is a complex problem. Heuristics and metaheuristic tools have been proved to provide good results mainly for large net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da13d1af257f3905a5c086c8ba20f2c8
http://hdl.handle.net/11386/4779263
http://hdl.handle.net/11386/4779263
Publikováno v:
Transportation Research Part C: Emerging Technologies. 144:103907
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,
Akademický článek
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Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 11:380-391
This paper discusses the problem of optimizing the use of scanning resources for route flow estimation in traffic networks. Three problems are considered: (1) Minimize the number of cameras to be used for estimating a given subset of route flows; (2)