Copertina

Dynamic Disruption Resilience in Intermodal Transport Networks: Integrating Flow Weighting and Centrality Measures

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sharmin, Aliza, Sharma, Bharat, Camur, Mustafa Can, Omitaomu, Olufemi A., Li, Xueping
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Physics and Society Optimization and Control Applications
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Investigating Resiliency of Transportation Network Under Targeted and Potential Climate Change Disruptions
di: Rahimitouranposhti, Maedeh, et al.
Pubblicazione: (2025)

A Review on Intermodal Transportation and Decarbonization: An Operations Research Perspective
di: Ferguson, Madelaine Martinez, et al.
Pubblicazione: (2025)

A Two-Stage Stochastic Model for Road-Rail Intermodal Freight Transportation Under Demand and Capacity Uncertainty
di: Gbadegoye, Jeremiah, et al.
Pubblicazione: (2025)

Towards Next-Generation Urban Decision Support Systems through AI-Powered Construction of Scientific Ontology using Large Language Models -- A Case in Optimizing Intermodal Freight Transportation
di: Tupayachi, Jose, et al.
Pubblicazione: (2024)

A Survey on Optimization Studies of Group Centrality Metrics
di: Camur, Mustafa Can, et al.
Pubblicazione: (2024)

Empowering Cognitive Digital Twins with Generative Foundation Models: Developing a Low-Carbon Integrated Freight Transportation System
di: Li, Xueping, et al.
Pubblicazione: (2024)

A car-following model with behavioural adaptation to road geometry
di: Pelella, Fabrizio, et al.
Pubblicazione: (2025)

Forecasting and decisions in the birth-death-suppression Markov model for wildfires
di: Hulsey, George, et al.
Pubblicazione: (2024)

Finding Pareto Efficient Redistricting Plans with Short Bursts
di: McCartan, Cory
Pubblicazione: (2023)

Optimal Meal Schedule for a Local Nonprofit Using LLM-Aided Data Extraction
di: Marin, Sergio, et al.
Pubblicazione: (2025)

Data Envelopment Analysis with Robust and Closest Targets:Integrating Full-Dimensional Efficient Facets for Risk-Resilient Benchmarking
di: Huang, Xiuquan, et al.
Pubblicazione: (2025)

Establishing Nationwide Power System Vulnerability Index across US Counties Using Interpretable Machine Learning
di: Ma, Junwei, et al.
Pubblicazione: (2024)

Routing Model for Multicommodity Freight in an Intermodal Network under Disruptions
di: Uddin, Majbah, et al.
Pubblicazione: (2024)

Modeling Disruptions to Urban Metabolism using Interconnected Networks
di: Sharma, Bharat, et al.
Pubblicazione: (2026)

Integrated optimization of operations and capacity planning under uncertainty for drayage procurement in container logistics
di: Vassos, Georgios, et al.
Pubblicazione: (2025)

Modeling the Risk of In-Person Instruction during the COVID-19 Pandemic
di: Liu, Brian, et al.
Pubblicazione: (2023)

A Quick Estimation of Fréchet Quantizers for a Dynamic Solution to Flood Risk Management Problems
di: Timonina-Farkas, Anna
Pubblicazione: (2025)

Resilient by Design: Simulating Street Network Disruptions across Every Urban Area in the World
di: Boeing, Geoff, et al.
Pubblicazione: (2024)

Designing a Circular Economy Network for PPE Masks Supply Chain: A Case Study of British Columbia, Canada
di: Shah, Jainil Dharmil, et al.
Pubblicazione: (2025)

A Heuristic Framework of Variable Neighborhood Descent Methods for the Large-Scale Multi-Level Facility Location Problem in Supply Chain Networks
di: Wang, Haibo, et al.
Pubblicazione: (2025)

Resilient Infrastructure Network: Sparse Edge Change Identification via L1-Regularized Least Squares
di: Anguluri, Rajasekhar
Pubblicazione: (2024)

Securing the Flow: Maritime Energy Resilience under Correlated and Decision-Dependent Disruptions
di: Sharma, Monit, et al.
Pubblicazione: (2026)

Order picking efficiency: A scattered storage and clustered allocation strategy in automated drug dispensing systems
di: Yuan, Mengge, et al.
Pubblicazione: (2023)

Experimental Designs for Optimizing Last-Mile Delivery
di: Rios, Nicholas, et al.
Pubblicazione: (2024)

Posterior linearisation smoothing with robust iterations
di: Lindqvist, Jakob, et al.
Pubblicazione: (2021)

An integrated selection and routing policy for urban waste collection
di: Wouda, Niels A., et al.
Pubblicazione: (2024)

Lead distance under a pickoff limit in Major League Baseball: A sequential game model
di: Powers, Scott, et al.
Pubblicazione: (2026)

Post-estimation Adjustments in Data-driven Decision-making with Applications in Pricing
di: Albert, Michael, et al.
Pubblicazione: (2025)

On the Impact of Biological Risk in Aquaculture Valuation and Decision Making
di: Ewald, Christian-Oliver, et al.
Pubblicazione: (2024)

Who Goes Next? Optimizing the Allocation of Adherence-Improving Interventions
di: Otero-Leon, Daniel, et al.
Pubblicazione: (2024)

Localizing Single and Multiple Oscillatory Sources: A Frequency Divider Approach
di: Anguluri, Rajasekhar, et al.
Pubblicazione: (2024)

A Bayesian Update Method for Exponential Family Projection Filters with Non-Conjugate Likelihoods
di: Emzir, Muhammad Fuady
Pubblicazione: (2025)

A general approach to optimal imperfect maintenance activities of a repairable equipment with imperfect maintenance and multiple failure modes
di: Mullor, Rubén, et al.
Pubblicazione: (2024)

Learning Risk Preferences in Markov Decision Processes: an Application to the Fourth Down Decision in the National Football League
di: Sandholtz, Nathan, et al.
Pubblicazione: (2023)

Dynamic Estimation of Learning Rates Using a Non-Linear Autoregressive Model
di: Okhrati, Ramin
Pubblicazione: (2024)

Manifolds in Power Systems Optimization
di: Pinto, Lucca Rodrigues, et al.
Pubblicazione: (2025)

A Convex Optimization Framework for Computing Robustness Margins of Kalman Filters
di: Prabhat, Himanshu, et al.
Pubblicazione: (2024)

Learning Robot Safety from Sparse Human Feedback using Conformal Prediction
di: Feldman, Aaron O., et al.
Pubblicazione: (2025)

Detecting and Correcting Sample-by-Sample Scale Distortion in RNA Sequencing Data
di: Thron, Christopher, et al.
Pubblicazione: (2026)

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails
di: Das, Priyam
Pubblicazione: (2025)