01
Maglev train planning and organization
Service plans, timetables, headway, and line-capacity optimization.
EDUCATION & ACADEMIC ACTIVITIES
Education and academic activity
Training in modeling, optimization, simulation and academic writing through research projects and competition practice.
SYSTEM / 05MAGLEV RESEARCH
01 / TRAINING DIRECTIONS
Graduate training directions
The team integrates maglev research with graduate education in operation optimization, transport organization, traction-power coordination, and system validation. Students work through requirements, modeling, algorithms, simulation, and communication, translating results into papers, patents, software, and competition projects.
02
Speed profiles and energy-efficient control
Speed profiles, operating modes, and train-control optimization.
03
Operation-control-power coordination
Coupling among train control, traction power, power limits, and supply zones.
04
Maglev freight organization and scenario planning
Low-cost passenger and freight systems and urban logistics assessment.
05
Modeling, algorithms, and simulation
Mathematical models, algorithms, implementation, comparison, and prototype validation.
02 / STUDENT COMPETITIONS
Student competition results
AWARD / 012025
Maglev Future: magnetic-control systems for passenger and freight trains
19th Challenge Cup National College Student Academic Science and Technology Competition
National Third Prize
Advisers: Liujiang Kang, Qingying Lai, Yu Liu
AWARD / 022025
Maglev Future: independently developed integrated operation-control-power technology
4th Beijing College Student Innovation and Entrepreneurship Competition
Beijing Third Prize
Advisers: Liujiang Kang, Qingying Lai
AWARD / 032025
Maglev Future: independently developed integrated operation-control-power technology
Challenge Cup Beijing College Student Academic Science and Technology Competition
Beijing Third Prize
Advisers: Liujiang Kang, Qingying Lai, Rui Dong
AWARD / 042025
Maglev Future: magnetic-control systems for passenger and freight trains
China International College Students' Innovation Competition, Beijing
Beijing Third Prize, Graduate Creative Group
Advisers: Liujiang Kang, Qingying Lai, Yu Liu, Rui Dong
AWARD / 052026
Maglev Green Artery Intelligent-Control Platform
Challenge Cup Beijing College Student Entrepreneurship Competition
Beijing Third Prize, Main Track
Advisers: Liujiang Kang, Qingying Lai, Huijun Sun, Jun Liu
03 / DEGREE THESES
Student theses
2026 / 01
Xubing Zhang
Timetable optimization for suspended low-speed maglev with mixed passenger and freight operation
2021 / 02
Haoran Zhou
Multi-objective timetable optimization for medium-speed maglev
2019 / 03
Shuqin Huo
Passenger-demand-oriented timetable models and algorithms for medium-speed maglev
2019 / 04
Xiaofeng Chai
Energy-efficient timetable optimization for medium-speed maglev
2019 / 05
Wenliang Ding
Headway calculation and traction-power zone optimization for medium-speed maglev
2018 / 06
Zhentao Liu
Sensor fault diagnosis for a medium-speed maglev levitation system
2018 / 07
Qunyan Wang
Line-capacity calculation and enhancement for medium-speed maglev
04 / TRAINING FEATURES
Training system
Project-driven
Problem identification, modeling, algorithms, software, and validation run through the training process.
Problem-oriented
Research questions are extracted from real speed-profile, timetable, capacity, power, and transport scenarios.
Outputs and competitions
Papers, patents, prototypes, and engineering plans become competition projects that build communication and teamwork.