An ant colony optimisation algorithm for solving the asymmetric traffic assignment problem

DOI10.1016/J.EJOR.2011.09.035zbMath1244.90058OpenAlexW1994483530MaRDI QIDQ439404

Bruno Montella, Luca D'Acierno, Mariano Gallo

Publication date: 16 August 2012

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2011.09.035

zbMATH Keywords

trafficant colony optimisationsignal settings designstochastic traffic assignment

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Traffic problems in operations research (90B20) Discrete location and assignment (90B80)

Related Items (6)

Failure of classical traffic flow theories: stochastic highway capacity and automatic driving ⋮ Criticism of generally accepted fundamentals and methodologies of traffic and transportation theory: a brief review ⋮ Scheduling batch processing machine using max-min ant system algorithm improved by a local search method ⋮ Solving traffic queues at controlled-signalized intersections in continuous-time Markov games ⋮ A modified \textit{Physarum}-inspired model for the user equilibrium traffic assignment problem ⋮ Dynamic vehicle routing with time windows in theory and practice

Uses Software

• pyuvdata

Cites Work

• Unnamed Item
• Transportation systems analysis. Models and applications.
• Models and algorithms for the optimization of signal settings on urban networks with stochastic assignment models
• A meta-heuristic approach for solving the urban network design problem
• Optimization of Area Traffic Control for Equilibrium Network Flows
• Traffic Equilibrium with Responsive Traffic Control
• A General Fixed-Point Approach to Multimode Multi-User Equilibrium Assignment with Elastic Demand
• Multidimensional Stochastic Approximation Methods

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