Research graph
References from A Two-Layer Simulation-Based Optimization Framework for Coordinated Metro Rescheduling: Integrating Machine Learning Surrogates with Metaheuristics. Local targets link to admitted publications; unresolved targets remain external evidence.
Passenger-centric timetable rescheduling: A user equilibrium approach
10.1016/j.trc.2021.103368 · 2021 · External reference
Tornado optimizer with Coriolis force: A novel bio-inspired meta-heuristic algorithm for solving engineering problems
10.1007/s10462-025-11118-9 · 2025 · External reference
An overview of recovery models and algorithms for real-time railway rescheduling
10.1016/j.trb.2014.01.009 · 2014 · External reference
A short-turning policy for the management of demand disruptions in rapid transit systems
10.1007/s10479-014-1663-x · 2016 · External reference
10.1109/iaeac54830.2022.9929607
10.1109/iaeac54830.2022.9929607 · External reference
Panel regression analysis of disruption frequency of urban rail transit systems
10.1177/03611981251334620 · 2025 · External reference
Deep reinforcement learning for integration of train trajectory optimization and timetable rescheduling under disturbances
10.1109/tnnls.2024.3357494 · 2024 · External reference
Coupling time-indexed and big-M formulations for real-time train scheduling during metro service disruptions
10.1016/j.trb.2019.12.005 · 2020 · External reference
Deep Q-network approach for train timetable rescheduling based on alternative graph
10.3390/app13179547 · 2023 · External reference
A multi-objective and dictionary-based checking for efficient rescheduling trains
10.1016/j.aej.2021.01.027 · 2021 · External reference
10.1061/jtepbs.teeng-9052
10.1061/jtepbs.teeng-9052 · External reference
An analysis of hybrid management strategies for addressing passenger injuries and equipment failures in the Taipei Metro System: Enhancing operational quality and resilience
10.3390/math13152470 · 2025 · External reference
Train timetabling with rolling stock assignment, short-turning and skip-stop strategy for a bidirectional metro line
10.1016/j.trb.2026.103529 · 2024 · External reference
Integrated optimization of train rescheduling and speed management during partial blockages: A decomposition approach
10.1287/trsc.2025.0137 · 2026 · External reference
10.1016/j.trb.2016.12.019
10.1016/j.trb.2016.12.019 · External reference
Train rescheduling for a metro corridor under unidirectional disruptions considering the trade-off between confirm phase and interrupt phase
2025 · External reference
An efficient evolutionary algorithm for high-speed train rescheduling under a partial station blockage
10.1016/j.asoc.2023.110590 · 2023 · External reference
Rescheduling subway trains by a discrete event model considering service balance performance
10.1016/j.apm.2015.06.031 · 2016 · External reference
Dynamic passenger demand-oriented train scheduling optimization considering flexible short-turning strategy
10.1080/01605682.2020.1806745 · 2020 · External reference
Optimizing integrated train rescheduling strategies for diverse disruption scenarios using reinforcement learning
10.1016/j.cie.2025.111329 · 2025 · External reference
Metro train rescheduling by adding backup trains under disrupted scenarios
10.15302/j-fem-2017044 · 2017 · External reference
Adaptive rescheduling of rail transit services with short-turnings under disruptions via a multi-agent deep reinforcement learning approach
10.1016/j.trb.2024.103067 · 2024 · External reference
An integrated optimization approach for passenger flow control strategy and metro train scheduling considering skip-stop patterns in special situations
10.1016/j.apm.2023.01.034 · 2023 · External reference
Reinforcement learning for scalable train timetable rescheduling with graph representation
10.1109/tits.2023.3344468 · 2024 · External reference
Multi-step look ahead deep reinforcement learning approach for automatic train regulation of urban rail transit lines with energy-saving
10.1016/j.engappai.2025.110181 · 2025 · External reference
Tornado optimizer with Coriolis force: A novel bio-inspired meta-heuristic algorithm for solving engineering problems
10.1007/s10462-025-11118-9 · ExternalCitation · doi-reference
A short-turning policy for the management of demand disruptions in rapid transit systems
10.1007/s10479-014-1663-x · ExternalCitation · doi-reference
A multi-objective and dictionary-based checking for efficient rescheduling trains
10.1016/j.aej.2021.01.027 · ExternalCitation · doi-reference
Rescheduling subway trains by a discrete event model considering service balance performance
10.1016/j.apm.2015.06.031 · ExternalCitation · doi-reference
An integrated optimization approach for passenger flow control strategy and metro train scheduling considering skip-stop patterns in special situations
10.1016/j.apm.2023.01.034 · ExternalCitation · doi-reference
An efficient evolutionary algorithm for high-speed train rescheduling under a partial station blockage
10.1016/j.asoc.2023.110590 · ExternalCitation · doi-reference
Optimizing integrated train rescheduling strategies for diverse disruption scenarios using reinforcement learning
10.1016/j.cie.2025.111329 · ExternalCitation · doi-reference
Multi-step look ahead deep reinforcement learning approach for automatic train regulation of urban rail transit lines with energy-saving
10.1016/j.engappai.2025.110181 · ExternalCitation · doi-reference
An overview of recovery models and algorithms for real-time railway rescheduling
10.1016/j.trb.2014.01.009 · ExternalCitation · doi-reference
10.1016/j.trb.2016.12.019
10.1016/j.trb.2016.12.019 · ExternalCitation · doi-reference
Coupling time-indexed and big-M formulations for real-time train scheduling during metro service disruptions
10.1016/j.trb.2019.12.005 · ExternalCitation · doi-reference
Adaptive rescheduling of rail transit services with short-turnings under disruptions via a multi-agent deep reinforcement learning approach
10.1016/j.trb.2024.103067 · ExternalCitation · doi-reference
Train timetabling with rolling stock assignment, short-turning and skip-stop strategy for a bidirectional metro line
10.1016/j.trb.2026.103529 · ExternalCitation · doi-reference
Passenger-centric timetable rescheduling: A user equilibrium approach
10.1016/j.trc.2021.103368 · ExternalCitation · doi-reference
10.1061/jtepbs.teeng-9052
10.1061/jtepbs.teeng-9052 · ExternalCitation · doi-reference
Dynamic passenger demand-oriented train scheduling optimization considering flexible short-turning strategy
10.1080/01605682.2020.1806745 · ExternalCitation · doi-reference
10.1109/iaeac54830.2022.9929607
10.1109/iaeac54830.2022.9929607 · ExternalCitation · doi-reference
Reinforcement learning for scalable train timetable rescheduling with graph representation
10.1109/tits.2023.3344468 · ExternalCitation · doi-reference
Deep reinforcement learning for integration of train trajectory optimization and timetable rescheduling under disturbances
10.1109/tnnls.2024.3357494 · ExternalCitation · doi-reference
Panel regression analysis of disruption frequency of urban rail transit systems
10.1177/03611981251334620 · ExternalCitation · doi-reference
Integrated optimization of train rescheduling and speed management during partial blockages: A decomposition approach
10.1287/trsc.2025.0137 · ExternalCitation · doi-reference
Metro train rescheduling by adding backup trains under disrupted scenarios
10.15302/j-fem-2017044 · ExternalCitation · doi-reference
Deep Q-network approach for train timetable rescheduling based on alternative graph
10.3390/app13179547 · ExternalCitation · doi-reference
An analysis of hybrid management strategies for addressing passenger injuries and equipment failures in the Taipei Metro System: Enhancing operational quality and resilience
10.3390/math13152470 · ExternalCitation · doi-reference
