| 基于充分可观控实验方法的城市轨道交通客流随机分配模型优化 |
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| 引用本文： | 基于充分可观控实验方法的城市轨道交通客流随机分配模型优化. 基于充分可观控实验方法的城市轨道交通客流随机分配模型优化[J]. 山东科学, 2022, 35(4): 90-97. DOI: 10.3976/j.issn.1002-4026.2022.04.012 |
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| 作者姓名： | 基于充分可观控实验方法的城市轨道交通客流随机分配模型优化 |
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| 作者单位： | 1. 北京市地铁运营有限公司,北京 1000442. 北京市智慧交通发展中心,北京 100073 |
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| 基金项目： | 北京市智慧交通发展中心开放课题;北京市百千万人才工程(2020A53) |
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| 摘 要： | 城市轨道交通起讫点间路径客流分配直接影响各条线路断面客流量的大小,进行科学精准的网络客流分配是实施客流统计分析、客流预测、运输计划编制、客运组织等工作的重要基础。基于城市轨道交通客流在轨道交通线网内的时空分布是充分可观控的理论,辨析影响客流随机概率分配的主要因素,建立网络模型架构,基于随机效用理论优化乘客出行的微观路径选择行为和决策过程,将客流随机分配模型中的有效路径效益值函数优化为分段函数。通过对结果进行路径分配比例验证及分线断面客流量验证,说明优化方法达到预期目标,为实现规范化、科学化、系统化的城市轨道交通清分奠定了坚实的基础。
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| 关 键 词： | 城市轨道交通 充分可观控实验方法 客流随机分配模型 综合出行阻抗 最短路径 |
| 收稿时间： | 2021-06-01 |
Optimization of random assignment model of urban rail transit passenger flow based on fully observable and controllable experimental method |
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| WANG Bo,BAO Feng,WU Xin-ran. Optimization of random assignment model of urban rail transit passenger flow based on fully observable and controllable experimental method[J]. Shandong Science, 2022, 35(4): 90-97. DOI: 10.3976/j.issn.1002-4026.2022.04.012 |
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| Authors: | WANG Bo BAO Feng WU Xin-ran |
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| Affiliation: | 1. Beijing Mass Transit Railway Operation Co., Ltd., Beijing 100044, China2. Beijing Intelligent Transportation Development Center, Beijing 100073, China |
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| Abstract: | The passenger flow distribution between origin and destination routes of urban rail transit directly affects the passenger flow size in each line section. A scientific and accurate network passenger flow distribution is crucial for passenger flow statistical analysis, passenger flow forecasting, transportation planning, and passenger transportation organization. Based on the notion that the spatiotemporal distribution of passenger flow in an urban rail transit network is fully controllable, this study analyzes the main factors affecting the random probability distribution of passenger flow, establishes a network model architecture, and optimizes the microscopic path selection behavior of passengers and the decision-making process based on the random utility theory. The effective path benefit value function in the passenger flow random assignment model is optimized into a piecewise function. Based on the verification of the route allocation ratio and passenger flow in the split line section, the proposed optimization method achieves the expected goal. The findings of this study lay a solid foundation for the implementation of a standardized, scientific, and systematic urban rail transit clearing. |
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| Keywords: | urban rail transit fully observable and controllable experimental method passenger flow random allocation model comprehensive travel impedance shortest path |
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