中国铁道科学研究院研究生部,北京 100081
兰州交通大学交通运输学院,兰州 730070
兰州交通大学高原铁路运输智慧管控铁路行业重点实验室,兰州 730070
中国铁道科学研究院集团有限公司科学技术信息研究所,北京 100081
作者简介:盛天一(1996—),男,硕士研究生,主要从行车组织研究工作,E-mail: bbbb2210@gmai1.com。
田志强(1981—),男,教授,工学博士,主要从事铁路运输组织优化与运行图编制研究工作,E-mail: tianzq@mail.lzjtu.cn。
收稿:2024-09-04,
修回:2024-10-30,
网络首发:2025-03-14,
纸质出版:2026-05-20
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盛天一, 田志强, 沈通. 动车组列控车载设备的制动曲线设定参数研究[J]. 铁道标准设计, 2026,70(5):20-26.
SHENG Tianyi, TIAN Zhiqiang, SHEN Tong. Study on Braking Curve Setting Parameters of EMU Train Control On-Board Equipment[J]. Railway Standard Design, 2026, 70(5): 20-26.
盛天一, 田志强, 沈通. 动车组列控车载设备的制动曲线设定参数研究[J]. 铁道标准设计, 2026,70(5):20-26. DOI: 10.13238/j.issn.1004-2954.202409040002.
SHENG Tianyi, TIAN Zhiqiang, SHEN Tong. Study on Braking Curve Setting Parameters of EMU Train Control On-Board Equipment[J]. Railway Standard Design, 2026, 70(5): 20-26. DOI: 10.13238/j.issn.1004-2954.202409040002.
【目的】
围绕中国高铁系统中的列控车载设备(CTCS)及其自动列车保护系统(ATP),探讨列车制动效率及其对列车间隔时间的影响。指出不同ATP型号的防护效率差异较大,尤其在高速铁路上,ATP生成的制动距离冗余问题导致列车提速运行时的到达间隔显著增加,成为行车组织的瓶颈。
【方法】
为了提高列车的行车效率,分析现有欧标制动法,指出欧标制动法区间内的平均减速度取值可能引发安全隐患,且由于速度区间划分粗放,导致制动效率不高。为了解决上述问题,基于现有列控车载设备曲线计算规定,提出一种基于最小制动距离目标的改进ATP制动曲线计算模型,以最小制动距离和最小制动时间为目标,结合驾驶适应性等因素,应用遗传算法对某型列控车载设备的曲线设定参数进行优化。
【结果】
计算结果表明,新设计的列控车载设备优化模型计算结果优于原本设备的计算结果,最小制动距离目标和最小制动时间目标下分别比原设备结果最多提高10.14%和10.73%。
【结论】
研究成果为更高效率的动车组列控车载设备的制动曲线参数提供一种设计思路。
[
Objective
]
This study focused on the train control on-board equipment(CTCS)and its automatic train protection(ATP)system in China's high-speed railway system
and investigated train braking efficiency and its impact on train headway. It was pointed out that there were significant differences in protection efficiency among different ATP types
especially on high-speed railways
where the redundant braking distance generated by ATP led to a significant increase in train headway during acceleration
becoming a bottleneck in train operation organization. [
Methods
]
To improve train operation efficiency
the existing European standard braking method was analyzed. It was pointed out that the average deceleration value within each interval might introduce potential safety hazards
and the coarse division of speed intervals resulted in low braking efficiency. To address the above problems
an improved AT
P braking curve calculation model based on the objective of minimum braking distance was proposed in accordance with existing calculation specifications of train control on-board equipment. With the objectives of minimum braking distance and minimum braking time
and considering factors such as driving adaptability
a genetic algorithm was applied to optimize the curve setting parameters of a certain type of train control on-board equipment. [
Results
]
The calculation results showed that
compared with the calculation results of the original equipment
the optimized model improved the minimum braking distance objective and the minimum braking time objective by up to 10.14% and 10.73%
respectively. [
Conclusion
]
The research findings provide a design approach for the braking curve parameters of on-board equipment for train control of higher-efficiency multiple units.
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