Evolutionary Synthesis of High-Capacity Reconfigurable Multilayer Road Networks Using a Multiagent Hybrid Clustering-Assisted Genetic Algorithm

Evolutionary Synthesis of High-Capacity Reconfigurable Multilayer Road Networks Using a Multiagent Hybrid Clustering-Assisted Genetic Algorithm

Modern requirements for urban traffic management and control call for the design of high-capacity reconfigurable multilayer road networks (RMRNs). This paper discusses the proposed evolutionary synthesis approach, a promising method for finding the best configurations of RMRNs, aiming to create road...

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Bibliographic Details
Main Authors: Andranik S. Akopov, Levon A. Beklaryan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Multilayer road networks
genetic algorithms
particle swarm optimization
fuzzy clustering
intelligent transportation systems
multiagent systems
Online Access:https://ieeexplore.ieee.org/document/10937695/
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