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A Stochastic Traffic Assignment Algorithm Based on Ant Colony Optimisation · Study

WorkA Stochastic Traffic Assignment Algorithm Based on Ant Colony Optimisation

Luca D’Acierno2006

Work2006

A Stochastic Traffic Assignment Algorithm Based on Ant Colony Optimisation

Luca D’Acierno · Bruno Montella · Fortuna De Lucia

28 citations·0/0 files stored·Lecture notes in computer science

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Transportation Planning and Optimization Metaheuristic Optimization Algorithms Research Traffic control and management

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References

1971A probabilistic multipath traffic assignment model which obviates path enumeration 2001Transportation Systems Engineering: Theory and Methods 1954Multidimensional Stochastic Approximation Methods 1997A General Fixed-Point Approach to Multimode Multi-User Equilibrium Assignment with Elastic Demand 1998Implicit Enumeration of Hyperpaths in a Logit Model for Transit Networks

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2010Ant Colony Optimisation approaches for the transportation assignment problem 2012A Meta-heuristic Algorithm for Solving the Road Network Design Problem in Regional Contexts 2014Application of Metaheuristics to Large-Scale Transportation Problems 2008Ant colony optimization arithmetic of capacity restraint traffic assignment

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2005Optimisation models for the urban parking pricing problemarticle · 4 shared references 2010Ant Colony Optimisation approaches for the transportation assignment problemother · 4 shared references 2003An assignment model with modified Logit, which obviates enumeration and overlapping problemsarticle · 3 shared references 2002Network pricing optimization in multi-user and multimodal context with elastic demandarticle · 3 shared references 2004A within-day dynamic traffic assignment model for urban road networksarticle · 3 shared references 2014A bi-objective turning restriction design problem in urban road networksarticle · 3 shared references

Details

Year2006

Typeother

Published2006-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations28

Files0 public / 0

ShelfTransportation Planning and Optimization

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doi10.1007/11839088_3

openalex_workW1589031782

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