Maglev transport organization and coordinated operation optimization

Transport organization and operational dispatching

Coordinate service frequency, stopping patterns, departure times, and section running times for future high-speed maglev operations and medium- and low-speed passenger and freight scenarios, with headway and line-capacity checks.

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Transport organization and operational dispatching
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01 / RESEARCH CONTENT

Research content

  1. 01

    For known passenger demand, optimize departure times and section running times to produce timetables balancing passenger travel and system energy consumption.

  2. 02

    Calculate minimum headway using blocking time, section occupation, and speed profiles, and verify line capacity.

  3. 03

    Develop dynamic adjustments to passenger and freight organization and dispatching in response to demand changes and operational disruptions.

02 / RELATED OUTPUTS

Selected outputs

Energy-efficient train timetabling for a medium-speed maglev line considering propulsion and suspension energy consumption
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Paper / 2023

Energy-efficient train timetabling for a medium-speed maglev line considering propulsion and suspension energy consumption

For known passenger demand, a bilevel model optimizes departure times at the upper level and section running times using their energy relationship at the lower level, balancing passenger travel with traction and levitation energy.

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Train headway estimation for maglev with blocking time theory
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Paper / 2024

Train headway estimation for maglev with blocking time theory

Blocking time theory models control-section occupation and release to support safe headway and line-capacity assessment.

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Invention patent / 2021

Genetic-algorithm-based energy-efficient timetable optimization for medium-speed maglev

A genetic-algorithm method for energy-efficient medium-speed maglev timetables.

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Software copyright / 2020

Medium-Speed Maglev Transport Organization Prototype System 1.0

A prototype system for validating medium-speed maglev transport organization plans.

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