Jiateng Yin
Orcid: 0000-0002-2725-3919
According to our database1,
Jiateng Yin
authored at least 36 papers
between 2014 and 2024.
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Bibliography
2024
An End-to-End Predict-Then-Optimize Clustering Method for Stochastic Assignment Problems.
IEEE Trans. Intell. Transp. Syst., September, 2024
2023
Optimization of system resilience in urban rail systems: Train rescheduling considering congestions of stations.
Comput. Ind. Eng., November, 2023
Resilience-Oriented Train Rescheduling Optimization in Railway Networks: A Mixed Integer Programming Approach.
IEEE Trans. Intell. Transp. Syst., May, 2023
Spatiotemporal Attention Fusion Network for Short-Term Passenger Flow Prediction on New Year's Day Holiday in Urban Rail Transit System.
IEEE Intell. Transp. Syst. Mag., 2023
A Real-Time Rescheduling Approach Using Loop Iteration for High-Speed Railway Traffic.
IEEE Intell. Transp. Syst. Mag., 2023
Vulnerability Assessment and Optimization of Urban Rail Systems Against Extreme Perturbations: An MIP-Based Approach.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Dynamic Modeling and Simulation of Train Resistances in Virtual Coupled Platoons for Railway Systems.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach.
Reliab. Eng. Syst. Saf., 2022
Data-driven models for train control dynamics in high-speed railways: LAG-LSTM for train trajectory prediction.
Inf. Sci., 2022
Integrated Backup Rolling Stock Allocation and Timetable Rescheduling with Uncertain Time-Variant Passenger Demand Under Disruptive Events.
INFORMS J. Comput., 2022
A Bi-Level Approach for the Metro Train Scheduling Problem Considering Passenger Behaviors.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
A Robust Optimization Approach for Trains Schedule Problem under Uncertain Maintenance Plans.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
2021
Timetable coordination in a rail transit network with time-dependent passenger demand.
Eur. J. Oper. Res., 2021
A Deep Reinforcement Learning Approach for the Traffic Management of High-Speed Railways.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
A Bi-Objective Optimization Model for Coordinated Train Timetabling in Rail Transit Networks.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Research on Optimization Method of Urban Rail Transit Operation Plan based on a Flexible Train Formation Strategy.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
2020
Energy-Efficient Subway Train Scheduling Design With Time-Dependent Demand Based on an Approximate Dynamic Programming Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2020
An Energy-Efficient Train Operation Approach by Integrating the Metro Timetabling and Eco-Driving.
IEEE Trans. Intell. Transp. Syst., 2020
Energy-Efficient Train Scheduling and Rolling Stock Circulation Planning in a Metro Line: A Linear Programming Approach.
IEEE Trans. Intell. Transp. Syst., 2020
2019
Real-Time Vehicle Motion Detection and Motion Altering for Connected Vehicle: Algorithm Design and Practical Applications.
Sensors, 2019
Mixed-Integer Linear Programming Models for Coordinated Train Timetabling with Dynamic Demand.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019
2018
An integrated approach for the energy-efficient driving strategy optimization of multiple trains by considering regenerative braking.
Comput. Ind. Eng., 2018
A Two-Stage Stochastic Optimization Model for Passenger-Oriented Metro Rescheduling with Backup Trains.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
A signal segmentation and feature fusion based RUL prediction method for railway point system.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Optimal Train Control by Approximate Dynamic Programming: Comparison of Three Value Function Approximation Methods.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
2017
IEEE Trans. Intell. Transp. Syst., 2017
A flexible and robust train operation model based on expert knowledge and online adjustment.
Int. J. Wavelets Multiresolution Inf. Process., 2017
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017
2016
IEEE Trans. Intell. Transp. Syst., 2016
Smart train operation algorithms based on expert knowledge and ensemble CART for the electric locomotive.
Knowl. Based Syst., 2016
J. Comput. Appl. Math., 2016
Fault diagnosis network design for vehicle on-board equipments of high-speed railway: A deep learning approach.
Eng. Appl. Artif. Intell., 2016
Data-driven train operation models based on data mining and driving experience for the diesel-electric locomotive.
Adv. Eng. Informatics, 2016
2014
Intelligent Train Operation Algorithms for Subway by Expert System and Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2014
Online adjusting subway timetable by q-learning to save energy consumption in uncertain passenger demand.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014