Hairong Dong
Biographic Data
| ID | 10054255 |
|---|---|
| NAME | Hairong Dong |
| GIVEN NAMES | Hairong |
| FAMILY NAME | Dong |
| SIGNATURE | DONG H |
| AFFILIATIONS | Beijing Jiaotong University |
| ORCID | 0000-0003-4369-3401 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Trajectory Optimization for Heavy-Haul Trains Under Varying Wheel-Rail Adhesion Conditions
Cooperative Control for Trains with Active Protection Under Communication Uncertainties
Determining the safety region is crucial in designing cooperative controllers with active protection for multiple trains. Unlike existing methods that typically consider the safety region as a predefined constant or overlook the influence of state errors caused by disturbances, this article proposes a two-layer control algorithm to address cooperative control and active protection challenges under the influence of communication uncertainties such…
LLM-Driven Cognitive Modeling for Personalized Travel Generation
Traditional cognitive travel modeling typically employs a unified cognitive model to simulate representative travel behaviors, which may usually result in a weak characterization of user heterogeneity in paths, modes, and other factors. Large language model (LLM), by contrast, has significantly enhanced the anthropomorphic and personalized features of intelligent systems. To integrate their advantages, this article proposes LLM-driven cognitive m…
Coordinated Rescheduling of Train Timetable and Crew Scheme for Passenger-Freight Collinear Railway
On a passenger-freight collinear railway, the freight train operation level is comparatively low, frequently resulting in significant deviations from the original timetable and crew plan in the presence of various interferences. This article focuses on the problem of coordinated rescheduling of train timetable and crew scheme in the presence of disruptions on a double-track passenger-freight collinear railway. We develop a mixed-integer linear pr…
Integration of Train Regulation and Speed Profile Optimization Based on Feature Learning and Hybrid Search Algorithm
The independent hierarchy of train dispatching command and train operation control in the existing urban rail transit systems restricts the improvement of operational efficiency and emergency handling capability. This article focuses on integrating train regulation and speed profile optimization by utilizing a feature learning and hybrid search algorithm. Specifically, a genetic algorithm (GA) is used to optimize the train speed profile for a fix…
Virtual-Coupling-Based Timetable Rescheduling for Heavy-Haul Railways Under Disruptions
As the demand for coal and other ore resources increases, the hauling capacity of heavy-haul railways is severely challenged. Virtual coupling technology has gained attention for its ability to improve operational efficiency in bottleneck sections and reduce the time it takes for trains operating on the line to resume normal operation during emergencies. In this article, virtual coupling-based timetable rescheduling method is proposed to reduce t…
Bi-Directional Delay Propagation Analysis and Modeling for High-Speed Railway Networks Under Disturbance
China’s high-speed railway (HSR) has entered the era of networked operation. Any internal disturbance or eternal disturbance may result in delays of some trains and even cascading delays, which will not only reduce the traffic efficiency of HSR, but also break passengers’ travel and lower their satisfaction. Studying the delay propagation mechanism could assist the dispatcher in suppressing the negative effect of disturbances. However, current st…
Crowd Evacuation With Multi-Modal Cooperative Guidance in Subway Stations
Setting up guidance equipment and leaders is widely used as an effective measure to improve the operation and evacuation efficiency of subway stations for the safety of passengers. Cooperation among different kinds of guidance modals can benefit the passenger evacuation process and reduce the operating and management costs as well as the risk of injury to people in subway stations. This article proposes a framework of multimodal cooperative guida…
Dual-Population Social Group Optimization Algorithm Based on Human Social Group Behavior Law
Inspired by the behavior law of human social groups, a new swarm intelligence algorithm named the dual-population social group optimization (DPSGO) algorithm is proposed in this article. Based on the primitive social group optimization (SGO) algorithm, dual-population grouping technology, reverse learning technology, immigration migration technology, and Gaussian mutation are introduced to further simulate the behavior law of actual human social …
Integrated Timetable Rescheduling for Multidispatching Sections of High-Speed Railways During Large-Scale Disruptions
Under the condition of network operation of high-speed railways (HSRs), the influence of disruptions on the train control and dispatching at the current line and related lines is more and more significant. This article focuses on the timetable cooperative rescheduling problem with multidispatching sections of HSRs from a macroscopic perspective in the case of large disruptions. The problem is formulated as a mixed-integer linear program (MILP) mo…
Integration of Train Control and Online Rescheduling for High-Speed Railways in Case of Emergencies
The high-speed train control system is essential to the safety and efficiency of train operation. With the rapid increase of high-speed railway (HSR) operating mileage and development of information technology, the disposal flow and methods in emergency response are still based on dispatchers and drivers’ experience within the “layered” architecture of current system. There is a certain gap between current processing methods and effective resolut…
Multiple-Feature-Based Vehicle Supply–Demand Difference Prediction Method for Social Transportation
Big data for social transportation brings unprecedented opportunities for us to solve the transportation problems that cannot be solved by traditional methods and build the next generation of the intelligent transportation system (ITS). As one of the important functions of the ITS, supply-demand difference prediction for autonomous vehicles provides a decision basis for its control. In this article, a new learning process is proposed with Multipl…
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Multiple-Feature-Based Vehicle Supply–Demand Difference Prediction Method for Social Transportation
Big data for social transportation brings unprecedented opportunities for us to solve the transportation problems that cannot be solved by traditional methods and build the next generation of the intelligent transportation system (ITS). As one of the important functions of the ITS, supply-demand difference prediction for autonomous vehicles provides a decision basis for its control. In this article, a new learning process is proposed with Multipl…
Integrated Timetable Rescheduling for Multidispatching Sections of High-Speed Railways During Large-Scale Disruptions
Under the condition of network operation of high-speed railways (HSRs), the influence of disruptions on the train control and dispatching at the current line and related lines is more and more significant. This article focuses on the timetable cooperative rescheduling problem with multidispatching sections of HSRs from a macroscopic perspective in the case of large disruptions. The problem is formulated as a mixed-integer linear program (MILP) mo…
Integration of Train Control and Online Rescheduling for High-Speed Railways in Case of Emergencies
The high-speed train control system is essential to the safety and efficiency of train operation. With the rapid increase of high-speed railway (HSR) operating mileage and development of information technology, the disposal flow and methods in emergency response are still based on dispatchers and drivers’ experience within the “layered” architecture of current system. There is a certain gap between current processing methods and effective resolut…
Crowd Evacuation With Multi-Modal Cooperative Guidance in Subway Stations
Setting up guidance equipment and leaders is widely used as an effective measure to improve the operation and evacuation efficiency of subway stations for the safety of passengers. Cooperation among different kinds of guidance modals can benefit the passenger evacuation process and reduce the operating and management costs as well as the risk of injury to people in subway stations. This article proposes a framework of multimodal cooperative guida…
Dual-Population Social Group Optimization Algorithm Based on Human Social Group Behavior Law
Inspired by the behavior law of human social groups, a new swarm intelligence algorithm named the dual-population social group optimization (DPSGO) algorithm is proposed in this article. Based on the primitive social group optimization (SGO) algorithm, dual-population grouping technology, reverse learning technology, immigration migration technology, and Gaussian mutation are introduced to further simulate the behavior law of actual human social …
Coordinated Rescheduling of Train Timetable and Crew Scheme for Passenger-Freight Collinear Railway
On a passenger-freight collinear railway, the freight train operation level is comparatively low, frequently resulting in significant deviations from the original timetable and crew plan in the presence of various interferences. This article focuses on the problem of coordinated rescheduling of train timetable and crew scheme in the presence of disruptions on a double-track passenger-freight collinear railway. We develop a mixed-integer linear pr…
Integration of Train Regulation and Speed Profile Optimization Based on Feature Learning and Hybrid Search Algorithm
The independent hierarchy of train dispatching command and train operation control in the existing urban rail transit systems restricts the improvement of operational efficiency and emergency handling capability. This article focuses on integrating train regulation and speed profile optimization by utilizing a feature learning and hybrid search algorithm. Specifically, a genetic algorithm (GA) is used to optimize the train speed profile for a fix…
Virtual-Coupling-Based Timetable Rescheduling for Heavy-Haul Railways Under Disruptions
As the demand for coal and other ore resources increases, the hauling capacity of heavy-haul railways is severely challenged. Virtual coupling technology has gained attention for its ability to improve operational efficiency in bottleneck sections and reduce the time it takes for trains operating on the line to resume normal operation during emergencies. In this article, virtual coupling-based timetable rescheduling method is proposed to reduce t…
Bi-Directional Delay Propagation Analysis and Modeling for High-Speed Railway Networks Under Disturbance
China’s high-speed railway (HSR) has entered the era of networked operation. Any internal disturbance or eternal disturbance may result in delays of some trains and even cascading delays, which will not only reduce the traffic efficiency of HSR, but also break passengers’ travel and lower their satisfaction. Studying the delay propagation mechanism could assist the dispatcher in suppressing the negative effect of disturbances. However, current st…
LLM-Driven Cognitive Modeling for Personalized Travel Generation
Traditional cognitive travel modeling typically employs a unified cognitive model to simulate representative travel behaviors, which may usually result in a weak characterization of user heterogeneity in paths, modes, and other factors. Large language model (LLM), by contrast, has significantly enhanced the anthropomorphic and personalized features of intelligent systems. To integrate their advantages, this article proposes LLM-driven cognitive m…
Trajectory Optimization for Heavy-Haul Trains Under Varying Wheel-Rail Adhesion Conditions
Cooperative Control for Trains with Active Protection Under Communication Uncertainties
Determining the safety region is crucial in designing cooperative controllers with active protection for multiple trains. Unlike existing methods that typically consider the safety region as a predefined constant or overlook the influence of state errors caused by disturbances, this article proposes a two-layer control algorithm to address cooperative control and active protection challenges under the influence of communication uncertainties such…
Computer Science (10 works) · Railway Systems and Energy Efficiency (8 works) · Engineering (7 works) · Transportation Planning and Optimization (5 works) · Transport engineering (4 works) · Algorithm (3 works) · Artificial Intelligence (3 works) · Mathematics (3 works) · Railway Engineering and Dynamics (3 works) · Train (3 works)