交通运输系统工程与信息

交通运输系统工程与信息 ›› 2020, Vol. 20 ›› Issue (2): 225-230.

• 案例分析 • 上一篇    下一篇

基于耐受性的城市轨道交通车厢立席密度研究

陈伟a,b,c，李宗平*a,b,c，余大本a,b,c，鞠艳妮a,b,c，尹嘉诚a,b,c   

  1. 西南交通大学a. 交通运输与物流学院；b. 综合交通运输智能化国家地方联合工程实验室； c. 综合运输四川省重点实验室，成都 610031
  • 收稿日期:2019-12-10 修回日期:2020-01-14 出版日期:2020-04-25 发布日期:2020-04-30
  • 作者简介:陈伟(1992-)，男，安徽安庆人，博士生.
  • 基金资助:

    国家重点研发计划/ National Key Research and Development Program of China(2017YFB1200702).

Standing Passenger Density of Urban Rail Transit Based on Tolerance

CHENWeia,b,c, LI Zong-pinga,b,c, YU Da-bena,b,c, JU Yan-nia,b,c, YIN Jia-chenga,b,c   

  1. a. School of Transportation and Logistics; b. National United Engineering Laboratory of Integrated and Intelligent Transportation; c. Comprehensive Transportation Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu 610031, China
  • Received:2019-12-10 Revised:2020-01-14 Online:2020-04-25 Published:2020-04-30

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摘要：

为合理确定城市轨道交通车厢立席密度，从立席乘客耐受感知的角度探讨立席密度对耐受性的影响. 从时间与空间感知的角度探讨综合耐受性影响因素分类，主要包括立席乘客密度、站立时间和候车时间3 个主要因素. 引入区间模糊数，实现对耐受感知的模糊化处理，提高参数的回归精度. 对模型进行回归分析，得出不同类型乘客耐受性的参数估计，绘制耐受阈值关于要素叠加的等值面图. 结合仿真结果，对立席密度耐受阈值进行修正，结果表明，常规条件下，普通出行乘客所能接受的最大立席密度为6.57~6.92 人/m2，通勤出行乘客所能接受的最大立席密度为7.21~7.63 人/m2. 模型结果为规划设计中确定合理立席密度提供参考依据.

关键词: 城市交通, 耐受性, 立席密度, 站立时间, 候车时间, 区间模糊数

Abstract:

In order to determine the seat density of urban rail transit reasonably, this paper discusses the influence of seat density on the tolerance from the perspective of seat passenger tolerance. From the perspective of time and space perception, this paper discusses the classification of influencing factors of comprehensive tolerance, including three main factors: standing passenger density, standing time and waiting time. Through the introduction of interval fuzzy numbers, the fuzzy processing of tolerance perception is realized, and the regression accuracy of parameters is improved. Regression analysis is carried out on the model, and the parameter estimation of different types of passenger tolerance is obtained, and the contour map of tolerance threshold with respect to factor superposition is drawn. According to the simulation results, the tolerance threshold of seat density is modified. The results show that under normal conditions, the seat density that ordinary passengers can accept are 6.57~6.92 people/m2. The bounds of seat density that commuters can accept are 7.21~7.63 people /m2. The results of the model can provide a reference for determining the reasonable stand density in planning and design.

Key words: urban traffic, tolerance, standing passenger density, standing time, waiting time, interval fuzzy number

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