Cover Image

Urban transit network design using spanning tree: A case study of Canberra transit network

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Suguira, Satoshi, Cheung, Kam-Fung, Bell, Michael G. H., Nakanishi, Hitomi, Kurauchi, Fumitaka, Perera, Supun, Vidyattama, Yogi
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Inverse Gram Matrix Methods for Prioritization in Analytic Hierarchy Process: Explainability of Weighted Least Squares Optimization Method
by: Yuen, Kevin Kam Fung
Published: (2024)

An analysis of Wardrop equilibrium and social optimum in congested transit networks
by: Orlando, Victoria M., et al.
Published: (2024)

Decentralized design of consensus protocols with minimal communication links based on directed spanning tree
by: Chen, Yangzhou, et al.
Published: (2026)

A systematic literature review on the application of analytical approaches and mathematical programming in public bus transit network design and operations planning: Part I
by: Mahmoudi, Reza, et al.
Published: (2025)

State estimator design using Jordan based long short-term memory networks
by: Kaur, Avneet, et al.
Published: (2025)

A systematic literature review on the application of analytical approaches and mathematical programming in public bus transit network design and operations planning: Part II
by: Mahmoudi, Reza, et al.
Published: (2025)

The quadratic minimum spanning tree problem: lower bounds via extended formulations
by: Sotirov, Renata, et al.
Published: (2021)

A reformulation-enumeration MINLP algorithm for gas network design
by: Li, Yijiang, et al.
Published: (2023)

Adaptive decision-making for stochastic service network design
by: Durán-Micco, Javier, et al.
Published: (2026)

Trading off regional and overall energy system design flexibility in the net-zero transition
by: van Greevenbroek, Koen, et al.
Published: (2023)

Mixed-integer linear programming approaches for tree partitioning of power networks
by: Lan, Leon, et al.
Published: (2021)

A case study in ensemble optimal control for Bayesian input design
by: Sacchelli, Ludovic, et al.
Published: (2025)

Using random spanning trees in survivable networks design
by: Wrobel, Blazej, et al.
Published: (2025)

Combining supervised learning and local search for the multicommodity capacitated fixed-charge network design problem
by: La Rocca, Charly Robinson, et al.
Published: (2024)

On feasibility cuts for chance-constrained multicommodity network design problems
by: Wouda, Niels A., et al.
Published: (2024)

Robust design optimization for a nonlinear system via Bayesian neural network enhanced polynomial dimensional decomposition
by: Jang, Hyunho, et al.
Published: (2026)

Formulations of the continuous set-covering problem on networks: a comparative study
by: Xu, Liding, et al.
Published: (2024)

Closed-loop training of static output feedback neural network controllers for large systems: A distillation case study
by: Turan, E. M., et al.
Published: (2024)

A 2-approximation algorithm for the softwired parsimony problem on binary, tree-child phylogenetic networks
by: Frohn, Martin, et al.
Published: (2024)

Data-driven identification of critical links in transport networks using quantum annealing
by: Xu, Junxiang, et al.
Published: (2026)

Nonsmooth Optimisation and neural networks
by: Peiris, Vinesha, et al.
Published: (2025)

Algorithms for min-buying in networks
by: Bhardwaj, Aaditya, et al.
Published: (2025)

Kron reduction of nonlinear networks
by: van der Schaft, Arjan, et al.
Published: (2024)

Minimum cost network flow with interval capacities: The worst-case scenario
by: Rada, Miroslav, et al.
Published: (2026)

Fuel-optimal powered descent guidance for lunar pinpoint landing using neural networks
by: Wang, Kun, et al.
Published: (2024)

Autonomous driving using an optimized neural network based adaptive LPV-MPC controller
by: Kebbati, Yassine, et al.
Published: (2025)

Numerical exploration of the range of shape functionals using neural networks
by: Martinet, Eloi, et al.
Published: (2026)

Learning to accelerate distributed ADMM using graph neural networks
by: Doerks, Henri, et al.
Published: (2025)

Future-proof ship pipe routing: navigating the energy transition
by: Markhorst, Berend, et al.
Published: (2023)

Computational issues in Optimization for Deep networks
by: Coppola, Corrado, et al.
Published: (2024)

Singular networks and ultrasensitive terminal behaviors
by: Franci, Alessio, et al.
Published: (2025)

Optimising pandemic response through vaccination strategies using neural networks
by: Zhai, Chang, et al.
Published: (2025)

Convexification of bilinear terms over network polytopes
by: Khademnia, Erfan, et al.
Published: (2023)

Note about network decomposition by maximum flow
by: Lu, Tianhang
Published: (2024)

Neural networks for multi-horizon stochastic programming
by: Zhang, Hongyu, et al.
Published: (2025)

Achieving consensus in networks of increasingly stubborn voters
by: Ohlin, David, et al.
Published: (2024)

On the control of recurrent neural networks using constant inputs
by: Tamekue, Cyprien, et al.
Published: (2024)

On the stability properties of power networks with time-varying inertia
by: Kasis, Andreas, et al.
Published: (2023)

Robustifying networks for flow problems against edge failure
by: Klyuchikov, Artyom, et al.
Published: (2025)

Selfish routing on transportation networks with supply and demand constraints
by: Toso, Tommaso, et al.
Published: (2024)