Dual graph representation of transport networks

被引:0
|
作者
Anez, J. [1 ]
De La Barra, T. [1 ]
Perez, B. [1 ]
机构
[1] Modelistica, Caracas, Venezuela
关键词
Computer simulation - Errors - Graph theory - Highway traffic control - Mathematical models - Transportation routes;
D O I
暂无
中图分类号
学科分类号
摘要
The dual graph technique has been developed to represent transport networks. The method is intended to simplify the coding of complex transport networks to a considerable degree, particularly when there are turning restrictions, or when multiple transfers between modes or transit lines must be taken into account. This article briefly describes this technique.
引用
收藏
页码:209 / 216
相关论文
共 50 条
  • [1] Dual graph representation of transport networks
    Anez, J
    DelaBarra, T
    Perez, B
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 1996, 30 (03) : 209 - 216
  • [2] DUGRA: Dual-Graph Representation Learning for Health Information Networks
    Wang, Qifan
    Fung, Benjamin C. M.
    Hung, Patrick C. K.
    2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2020, : 4961 - 4970
  • [3] A graph representation of filter networks
    Svensson, B
    Andersson, M
    Knutsson, H
    IMAGE ANALYSIS, PROCEEDINGS, 2005, 3540 : 1086 - 1095
  • [4] Graph Neural Networks for Wireless Networks: Graph Representation, Architecture and Evaluation
    Lu, Yang
    Li, Yuhang
    Zhang, Ruichen
    Chen, Wei
    Ai, Bo
    Niyato, Dusit
    IEEE WIRELESS COMMUNICATIONS, 2025, 32 (01) : 150 - 156
  • [5] Graph Geometric Algebra networks for graph representation learning
    Zhong, Jianqi
    Cao, Wenming
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [6] Representation research on transport networks
    Wan, Xujun
    Hu, Anzhou
    Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 1999, 12 (04): : 73 - 77
  • [7] Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems
    Wu, Qitian
    Zhang, Hengrui
    Gao, Xiaofeng
    He, Peng
    Weng, Paul
    Gao, Han
    Chen, Guihai
    WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019), 2019, : 2091 - 2102
  • [8] Variational Graph Convolutional Networks for Dynamic Graph Representation Learning
    Mir, Aabid A.
    Zuhairi, Megat F.
    Musa, Shahrulniza
    Alanazi, Meshari H.
    Namoun, Abdallah
    IEEE ACCESS, 2024, 12 : 161697 - 161717
  • [9] Dual-decoder graph autoencoder for unsupervised graph representation learning
    Sun, Dengdi
    Li, Dashuang
    Ding, Zhuanlian
    Zhang, Xingyi
    Tang, Jin
    KNOWLEDGE-BASED SYSTEMS, 2021, 234
  • [10] DUAL PATH GRAPH CONVOLUTIONAL NETWORKS
    Li, Yunhe
    Hu, Yaochen
    Zhang, Yingxue
    2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2022, : 5563 - 5567