线路坡度对重载群组列车追踪间隔影响研究

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中图分类号：U296 文献标志码：A文章编号：1006-0316（2025）11-0044-08

doi ： 10.3969/j.issn.1006-0316.2025.11.007

Influence of Track Gradient on Heavy-Haul Group Train Tracking Interval

ZHANG Pu1 ， SONG Zongying²， WANG Xingzhong

1.State KeyLaboratory ofRailTransit Vehicle System，Southwest Jiaotong University，Chengdu 610031， China; 2. China Shenhua Energy Company Limited， Beijing 10o011， China ）

Abstract ∵ Heavy-haul train platooning operation represents an effective approach to significantly reduce train tracking intervals and substantially enhance railway transport efciency.To investigate the impact of track gradients on train platoon headway intervals，this study developed a speed profile optimization model based on particle swarm optimization algorithm. The model aims to achieve minimum platoon headway while maintaining autonomous colision avoidance capability. The model was implemented in MATLAB environment for simulation analysis，determining optimal speed profiles for train platoons under diferent track gradients，which can satisfy both colision avoidance and minimum headway requirements.The analysis evaluated platoon interval control performance through three dimensions—average headway interval， maximum headway interval， and departure time interval. Results demonstrate that when operating with the optimized speed profiles obtained through this method， the average headway interval， maximum headway interval， and departure time interval of train platoons exhibit an approximately exponential growth trend with increasing track gradients.When track gradientsremain below 9‰ ，train platoons can achieve satisfactory tracking performance.However，at a 12‰ （20 gradient， the average headway interval reaches 921.3m ，maximum headway interval extends to 1959.3m ，and departure time interval increases to 321s. ， indicating significantly compromised platooning efficiency.

Key words ∵ heavy-haul group train ; group train interval control ; dynamic collision avoidance of group train ; particle swarm optimization algorithm； group train tracking interval

随着我国铁路货运需求日益增长，重载列车运量提升问题已迫在眉睫[1]。（剩余6694字）