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On Decision Principles for Routing Strategies Under Various Types of Risks · Study

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ChapterOn Decision Principles for Routing Strategies Under Various Types of Risks

Jan‐Dirk Schmöcker2010

Chapter2010

On Decision Principles for Routing Strategies Under Various Types of Risks

Jan‐Dirk Schmöcker

5 citations·0/0 files stored·NATO science for peace and security series. C, Environmental security

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Transportation Planning and Optimization Risk and Safety Analysis Infrastructure Resilience and Vulnerability Analysis

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References

2000A game theory approach to measuring the performance reliability of transport networks 1993Game theory and strategy 1988Optimal Obnoxious Paths on a Network: Transportation of Hazardous Materials 2000Catastrophe Avoidance Models for Hazardous Materials Route Planning 2008Hyperstar: A multi-path Astar algorithm for risk averse vehicle navigation 2000Spatial decision support system for hazardous material truck routing 2007The cost and risk impacts of rerouting railroad shipments of hazardous materials 2009A Game Theoretic Approach to the Determination of Hyperpaths in Transportation Networks

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2021Hazardous material transportation problems: A comprehensive overview of models and solution approachesarticle · 4 shared references 2013Operations Research Models for Global Route Planning in Hazardous Material Transportationchapter · 4 shared references 2019An optimization approach to planning rail hazmat shipments in the presence of random disruptionsarticle · 3 shared references 2013Routing and scheduling hazardous material shipments: Nash game approacharticle · 3 shared references 2017Link-based multi-class hazmat routing-scheduling problem: A multiple demon approacharticle · 3 shared references 2010Risk Averse Routing of Hazardous Materials with Scheduled Delayschapter · 3 shared references

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Year2010

Typechapter

Published2010-01-01

VenueNATO science for peace and security series. C, Environmental security

ISSN-L1874-6519

Languageen

Citations5

Files0 public / 0

ShelfTransportation Planning and Optimization

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doi10.1007/978-90-481-8563-4_4

openalex_workW47341339

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