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  • Search: subject:"Stochastic time-dependent networks"
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Year of publication
Subject
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Shortest paths 3 Stochastic time-dependent networks 3 stochastic time-dependent networks 3 Ranking 2 Routing 2 Theorie 2 Theory 2 Tourenplanung 2 Vehicle routing problem 2 A priori route choice 1 Bicriterion shortest path 1 Dynamic programming 1 Dynamische Optimierung 1 K shortest paths 1 Mathematical programming 1 Mathematische Optimierung 1 Multiple objective programming 1 Multivariate Analyse 1 Multivariate analysis 1 Network 1 Netzwerk 1 Operations Research 1 Operations research 1 Ranking method 1 Ranking-Verfahren 1 Stadtverkehr 1 Stochastic process 1 Stochastischer Prozess 1 Transport infrastructure 1 Two-phase method 1 Urban transport 1 Verkehrsinfrastruktur 1 directed hypergraphs 1 dynamic programming 1 label-correcting method 1 label-setting method 1 most reliable routing policy 1 on-time arrival probability 1 routing 1 shortest paths 1
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Online availability
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Undetermined 2
Type of publication
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Article 3 Book / Working Paper 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 4 Undetermined 2
Author
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Andersen, Kim Allan 5 Nielsen, Lars Relund 5 Pretolani, Daniele 5 Akkinepally, Arun Prakash 1 Medaglia, Andrés L. 1 Yamín, Daniel 1
Institution
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Ehrvervøkonomisk Institut, Institut for Økonomi 3
Published in...
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CORAL Working Papers 3 European Journal of Operational Research 1 European journal of operational research : EJOR 1 Transportation science 1
Source
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RePEc 4 ECONIS (ZBW) 2
Showing 1 - 6 of 6
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Reliable routing strategies on urban transportation networks
Yamín, Daniel; Medaglia, Andrés L.; Akkinepally, Arun … - In: Transportation science 58 (2024) 2, pp. 377-393
Persistent link: https://www.econbiz.de/10014527143
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Ranking paths in stochastic time-dependent networks
Nielsen, Lars Relund; Andersen, Kim Allan; Pretolani, … - In: European Journal of Operational Research 236 (2014) 3, pp. 903-914
In this paper we address optimal routing problems in networks where travel times are both stochastic and time-dependent. In these networks, the best route choice is not necessarily a path, but rather a time-adaptive strategy that assigns successors to nodes as a function of time. Nevertheless,...
Persistent link: https://www.econbiz.de/10011097685
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Ranking paths in stochastic time-dependent networks
Nielsen, Lars Relund; Andersen, Kim Allan; Pretolani, … - In: European journal of operational research : EJOR 236 (2014) 3, pp. 903-914
Persistent link: https://www.econbiz.de/10010367155
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A note on “Multicriteria adaptive paths in stochastic, time-varying networks”
Pretolani, Daniele; Nielsen, Lars Relund; Andersen, Kim … - Ehrvervøkonomisk Institut, Institut for Økonomi - 2006
In a recent paper, Opasanon and Miller-Hooks study multicriteria adaptive paths in <p> stochastic time-varying networks. They propose a label correcting algorithm for finding the full set of efficient strategies. In this note we show that their algorithm is not correct, since it is based on a...</p>
Persistent link: https://www.econbiz.de/10005802226
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Bicriterion a priori route choice in stochastic time-dependent networks.
Nielsen, Lars Relund; Andersen, Kim Allan; Pretolani, … - Ehrvervøkonomisk Institut, Institut for Økonomi - 2006
In recent years there has been a growing interest in using stochastic time-dependent (STD) networks as a modelling tool for a number of applications within such areas as transportation and telecommunications. It is known that an optimal routing policy does not necessarily correspond to a path,...
Persistent link: https://www.econbiz.de/10005802238
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K shortest paths in stochastic time-dependent networks
Nielsen, Lars Relund; Pretolani, Daniele; Andersen, Kim … - Ehrvervøkonomisk Institut, Institut for Økonomi - 2004
A substantial amount of research has been devoted to the shortest path problem in networks where travel times are stochastic or (deterministic and) time-dependent. More recently, a growing interest has been attracted by networks that are both stochastic and time-dependent. In these networks, the...
Persistent link: https://www.econbiz.de/10005802221
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