恶劣天气下山岭区有轨电车的列车运行调整方法
陈佳琪
Operation Rescheduling Method for Trams in Mountainous Areas under Adverse Weather Conditions
CHEN Jiaqi
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作者信息:1.丽江雪山轨道交通有限公司， 674199， 丽江
2.中铁建云南投资有限公司， 650220， 昆明
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Affiliation:Lijiang Xueshan Rail Transit Co., Ltd., 674199, Lijiang, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2023.09.002
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中图分类号/CLCN:U292.4: U482.1
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栏目/Col:学术专论
摘要:
山岭区的有轨电车常会受到恶劣天气的影响，导致有轨电车的运行时刻偏离初始时刻表。为提高山岭区有轨电车在恶劣天气下的运营效率，提出一种有轨电车运行调整方法。方法：考虑有轨电车在交叉口信号优先模式下的影响，基于山岭区恶劣天气对有轨电车运行的扰动特点，构建了有轨电车列车运行调整的混合整数线性规划模型；介绍了模型求解算法；以丽江有轨电车1号线为例，基于不同恶劣天气场景设置15个试验组对所构建的模型进行验证。结果及结论：临时限速值越低，各站到发时刻总偏离时间越高；当临时限速值一致时，总偏离时间随着限速持续时间的增加而增加；当临时限速值与限速持续时间一致时，相对优先模式的增加幅度较绝对优先模式的增加幅度更大；当限速持续时间一致时，总偏离时间均随着临时限速值的降低而增加；在不同程度的恶劣天气下，绝对优先模式可以降低15%~87%的总偏离时间，随着恶劣天气严重程度增加(临时限速值越低)，绝对优先模式的优势呈下降趋势。
Abstracts:
Trams in mountainous areas are vulnerable to adverse weather conditions, leading to deviations from the initial timetable. To improve the operational efficiency of trams in this situation, a tram rescheduling method is proposed.Method: Considering the impact of intersection signal priority mode on tram operation and the disturbance characteristics caused by adverse weather in mountainous areas, a mixedinteger linear programming model for tram rescheduling is constructed, the solution algorithm for the model is described. Taking Lijiang Tram Line 1 as example, 15 experimental groups are set up based on different adverse weather scenarios to validate the constructed model.Result & Conclusion: The lower the temporary speed restriction, the higher the total deviation time of arrivals and departures at each station; when the temporary speed restriction is consistent, the total deviation time increases as speed restriction duration increases; when temporary speed restriction value is consistent with duration time, the increased amplitude under relative priority mode is greater than that under absolute priority mode; when speed restriction duration is consistent, the total deviation time increases as temporary speed restriction value decreases; under different levels of adverse weather conditions, the absolute priority mode can reduce total deviation time by 15% to 87%. However, as the severity of adverse weather increases (with lower temporary speed restriction value), the advantage of absolute priority mode shows a decreasing trend.
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