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ATC 车辆基地咽喉区通过能力计算方法研究
引用本文:黄宗志,肖雅玲,柏 赟.ATC 车辆基地咽喉区通过能力计算方法研究[J].都市快轨交通,2024,37(2):65-71.
作者姓名:黄宗志  肖雅玲  柏 赟
作者单位:广州地铁设计研究院股份有限公司,广州 510010;北京交通大学,北京 100044
基金项目:中央高校基本科研业务费(2023JBCZ002);国家自然科学基金(71971016,71901022)
摘    要:车辆基地发车能力逐渐成为提高早高峰正线运营水平的瓶颈,部分城市开始探索建设自动化列车控制(automatic train control,ATC)车辆基地,针对 ATC 车辆基地收发车能力计算复杂,现有收发车能力计算方法难以应用的弊端,研究了 ATC 车辆基地咽喉区通过能力的计算方法。首先,在 ATC 灭灯模式下,通过比较得到不同列车发车顺序下的最小列车总发车时间;其次,计算得到 ATC 车辆基地的最大咽喉区通过能力;最后以广州萝岗车辆基地为案例,进行 ATC 灭灯模式下咽喉区通过能力计算模型有效性的验证研究。研究结果表明:ATC 灭灯模式、ATC 点灯模式、列调结合模式和列车进路模式下咽喉区通过能力分别为 28、17、13、11 列/h;ATC 灭灯模式较其他 3 种模式有更大的发车能力,能更好地满足早高峰正线的运营需求。研究结果可以为评估车辆基地设计方案提供参考。

关 键 词:城市轨道交通  车辆基地  咽喉区通过能力  发车顺序  模拟退火算法

Capability Calculation Method of ATC Depot Throat Area
Institution:Guangzhou Metro Design & Research Institute Co., Ltd., Guangzhou 510010;Beijing Jiaotong University, Beijing 100044
Abstract:Given that the departure capacity of depots has gradually hindered the improvement of the operation level of the mainline during morning peak hours, some cities have begun to explore the construction of ATC depots. However, existing calculationmethods for vehicle sending and receiving capacity cannot be applied to ATC depots. The throat area capacity calculation methodof ATC depots is investigated to compensate for the above shortcomings. First, under the ATC lights-off mode, the minimum totaltrain departure time is obtained by comparing the total train departure times under different train departure sequences. Second,the maximum throat area passing capacity of the ATC depot is calculated. Finally, using the Guangzhou Luogang depot as acase study, a validation study of the effectiveness of the calculation model of the throat area passing capacity under the ATClights-off mode is carried out. The results show that the passing capacities of the throat area under the ATC lights-off, ATC lighting,train adjustment combination, and train approach modes are 28, 17, 13, and 11 trains/h, respectively; the ATC lights-off modehas a greater capacity than the other three modes and can better meet the operational demand of the mainline during morningpeak hours. The results of this study can serve as a reference for evaluating depot design schemes.
Keywords:urban rail transit  depot  throat-area capacity  departure sequence  simulated annealing algorithm
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