A joint optimization model for train scheduling and seat allocation is developed to balance supply and demand while minimizing costs. Incorporating passenger travel utility, the study optimizes train timetables considering multi-flow demand, providing efficient scheduling and routing solutions for various operational scenarios.
Department of Transportation, Beijing Union University
13 426 263 603
178 199 444@qq.com
A microsimulation method for transfers between commuter rail and high-speed trains was developed, creating a discrete-event simulation system that coordinates high-speed rail, commuter rail, and metro operations. The system simulates dynamic passenger behavior and provides quantitative performance metrics.
Department of Transportation, Beijing Union University
13 426 263 603
178 199 444@qq.com
IoT, sensors, and real-time data collection technologies are employed to gather information on trains, tracks, signals, and other railway assets. Using big data analytics and AI algorithms, intelligent analysis enables real-time monitoring, integrated control, and precise early warnings for railway infrastructure, equipment, and operational processes
Department of Transportation, Beijing Union University
13 426 263 603
178 199 444@qq.com
A standardized data management system is developed for intelligent railway operation and lifecycle data governance. Intelligent data analysis supports decision-making, enabling real-time safety risk monitoring, condition assessment, predictive maintenance, and fault diagnosis based on monitoring data.
Department of Transportation, Beijing Union University
13 426 263 603
178 199 444@qq.com
Utilizing operations research theories and co-optimization methods, the study develops train capacity allocation schemes and granular passenger flow management strategies for different operational patterns. A systems approach optimizes metro network train scheduling.
Department of Transportation, Beijing Union University
13 426 263 603
178 199 444@qq.com
Real-time multi-sensor data and intelligent algorithms enhance traffic data perception and analysis capabilities. Coordination algorithms for arterial roads and regional traffic system optimization enable precise traffic organization and improved management efficiency.
Department of Transportation, Beijing Union University
13 426 263 603
178 199 444@qq.com
By modeling spatiotemporal networks, train movements and passenger flow constraints are transformed into a route optimization problem. An integer linear programming model reduces passenger wait times, balances resource allocation, and improves operational quality.
Department of Transportation, Beijing Union University
13 426 263 603
178 199 444@qq.com
Collection and analysis of data on typical and edge-case road scenarios in key Chinese and Russian cities; formation of a structured and standardized library of scenarios for autonomous driving tests; performing commonality and difference analysis; development of a virtual-physical verification platform for autonomous driving testing
Li Yunxuan
+(86)18651850770
Development of intelligent management strategies and warning systems for snowy/icy road conditions; research on the evaluation index system and methods for improving the resilience of road networks in cold regions; exchange of Sino-Russian experience in polar zone traffic regulation.
Li Yunxuan
+(86)18651850770