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A Robust Mixed-Integer Linear Programming Model for Mitigating Rail Transit Disruptions Under Uncertainty
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Passenger-Induced Delay Propagation: Agent-Based Simulation of Passengers in Rail Networks
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The Concept of Recoverable Robustness, Linear Programming Recovery, and Railway Applications
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Disruption Management in Passenger Railway Transportation
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Computability of global solutions to factorable nonconvex programs: Part I — Convex underestimating problems
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Adjustable robust solutions of uncertain linear programs
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A short-turning policy for the management of demand disruptions in rapid transit systems
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The impact of planned disruptions on rail passenger demand
inferredcites →https://doi.org/10.1007/s12469-017-0157-zopenalex-snapshot
Railway disruption management challenges and possible solution directions
inferredcites →https://doi.org/10.1016/j.automatica.2016.09.016openalex-snapshot
Robust optimal control with adjustable uncertainty sets
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Planning for the unexpected: The value of reserve capacity for public transport network robustness
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An overview of recovery models and algorithms for real-time railway rescheduling
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A Branch-and-Price algorithm for railway rolling stock rescheduling
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Evaluating passenger robustness in a rail transit network
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Optimal allocation of protective resources in urban rail transit networks against intentional attacks
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Robust solutions of uncertain linear programs
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Dynamic passenger assignment during disruptions in railway systems
inferredcites →https://doi.org/10.1109/tits.2016.2644725openalex-snapshot
A Data-Driven and Optimal Bus Scheduling Model With Time-Dependent Traffic and Demand
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The Cutting-Plane Method for Solving Convex Programs
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Subway user behaviour when affected by incidents in Toronto (SUBWAIT) survey — A joint revealed preference and stated preference survey with a trip planner tool
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Using smart card data to extract passenger's spatio-temporal density and train's trajectory of MRT system
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Finding the K Shortest Loopless Paths in a Network
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Fast Approaches to Improve the Robustness of a Railway Timetable
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Column Generation with Dynamic Duty Selection for Railway Crew Rescheduling
inferredcites →https://doi.org/10.1287/trsc.1110.0388openalex-snapshot
Railway Rolling Stock Planning: Robustness Against Large Disruptions
inferredcites →https://doi.org/10.1287/trsc.2013.0502openalex-snapshot
Rescheduling of Railway Rolling Stock with Dynamic Passenger Flows
inferredcites →https://doi.org/10.1287/trsc.2015.0618openalex-snapshot
A Railway Timetable Rescheduling Approach for Handling Large Scale Disruptions
inferredcites →https://doi.org/10.1287/trsc.2016.0703openalex-snapshot
Data-Enabled Stochastic Modeling for Evaluating Schedule Robustness of Railway Networks
inferredcites →https://doi.org/10.1680/ipeds.1952.11362openalex-snapshot
CORRESPONDENCE. SOME THEORETICAL ASPECTS OF ROAD TRAFFIC RESEARCH.
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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