OUR TEAM

Team members

Core faculty working on transport organization, operational dispatching, train control and traction-power coordination.

SYSTEM / 04MAGLEV RESEARCH

01 / CORE FACULTY

Core faculty

Jun Liu

Jun Liu

Professor

Affiliation
Beijing Jiaotong University

RESEARCH EXPERTISE

His research covers transport organization theory and technology, and intelligent management of transport systems. He contributes to maglev transport organization, operation optimization and related foundational research.

Lingyun Meng

Lingyun Meng

Professor · Doctoral supervisor

Affiliation
Beijing Jiaotong University

RESEARCH EXPERTISE

His research focuses on optimization and utilization of rail transport capacity resources, including train organization and dispatch optimization.

Qingying Lai

Qingying Lai

Lecturer · Master's supervisor

Affiliation
Beijing Jiaotong University

RESEARCH EXPERTISE

Her research covers passenger and freight organization, operational dispatching and train control for maglev and other rail systems, with emphasis on operation optimization and coordination with traction power.

02 / RESEARCH AREAS

Research and training directions

AREA / 01

High-speed maglev networks and techno-economic analysis

Relationships between high-speed maglev and existing high-speed rail networks, including demand, service organization, system conditions, applicable scenarios and economic comparison.

AREA / 02

Transport organization and operational dispatching

Coordination among departure times, section running times and demand, with emphasis on timetabling, line capacity and service adjustment.

AREA / 03

Train speed profiles and energy-efficient operation

Speed profiles shaped by running time, energy and safety constraints, including auxiliary stopping areas, line conditions, traction characteristics and levitation energy.

AREA / 04

Coordination of organization, control and traction power

Formal modeling, layered optimization and operating-strategy generation across transport planning, train control and traction power.

AREA / 05

Low-speed maglev freight models and planning assessment

Low-speed permanent-magnet maglev freight models and transport organization for urban logistics, including capacity and cost analysis.

03 / TEAM COLLABORATION

Team collaboration

Concept scene of researchers discussing a shared railway model

Rigorous · Open · Interdisciplinary

Research concept illustration
TEAM / 01

Open collaboration

Joint research with universities, industry and public-sector partners.

TEAM / 02

Cross-disciplinary

Transport, control, AI and operations research in one workflow.

TEAM / 03

Academic exchange

Conferences, visits and joint training accelerate research impact.

CONTACT US

Contact the team

Contact details

Please use the official faculty profiles above

Join the team

We welcome students interested in maglev transport research

DATA / 01

3

Core faculty

DATA / 02

14

Selected outputs

DATA / 03

6

Research projects

DATA / 04

4

Competition awards

04 / NEWS & EVENTS

Latest updates

2026.05

Paper on energy-efficient maglev operation published in Transportation Research Part D

The work studies eco-driving with position-dependent motor characteristics and includes power-capacity and two-dimensional speed-protection constraints.

2026.03.09

Low-speed maglev freight research used in planning-assessment materials

The work supported preliminary planning and feasibility assessment, using the Guangzhou North–Baiyun Airport logistics line as a capacity and cost-analysis case.

2025.02

Maglev Train Operation Optimization published

The book by Qingying Lai and Jun Liu was published by China Railway Publishing House and covers formal modeling, speed profiles and integrated operation–control–power optimization.