Artificial leaf-vein network optimisation algorithm for urban transportation network design

  • Baozhen Yao
  • , Chao Chen
  • , Wenxuan Shan
  • , Bin Yu*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Designing a rational urban transportation network has become one of the hottest topics in the transportation field. Many heuristic algorithms, based on biological laws or swarm intelligence, have been proposed in recent years. However, rare researches paid attention to the perfect topology of the leaf-vein network in nature. In this paper, a definitely new heuristic algorithm is proposed based on the leaf-vein network. By analysing the growth process of leaf veins, the underlying relationship between urban transportation network and leaf-vein network is first investigated. An evolutionary mechanism of the algorithm or called the artificial leaf-vein generation rule, is built by simulating the natural selection of biological evolution and genetic transmission. Given the differences between urban transportation networks and leaf-vein networks, a transformation method between the two networks is also designed. Finally, a benchmark instance, the Sioux Falls network, is set up to demonstrate the performance of the proposed algorithm.

Original languageEnglish
Pages (from-to)256-268
Number of pages13
JournalInternational Journal of Bio-Inspired Computation
Volume20
Issue number4
DOIs
StatePublished - 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • UTNDP
  • artificial leaf-vein network
  • auxin transport
  • heuristic algorithm
  • urban transportation network design problem

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