| 考虑时间及路径约束的地铁断面客流构成推定方法 |
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| 引用本文： | 黄志远,徐瑞华,周峰,徐天捷.考虑时间及路径约束的地铁断面客流构成推定方法[J].同济大学学报(自然科学版),2018,46(7):0920-0925. |
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| 作者姓名： | 黄志远 徐瑞华 周峰 徐天捷 |
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| 作者单位： | 同济大学道路与交通工程教育部重点实验室 |
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| 基金项目： | 上海市科委科研计划项目(16DZ1203802)、中央高校基本科研业务费专项资金资助项目（22120170239，2016kj032） |
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| 摘 要： | 为缓解高峰时段地铁局部网络客流拥挤,更有效地对拥挤区段客流实施路径诱导,从而优化控制网络客流分布,首先通过计算不同时间粒度断面满载率,设置筛选阈值识别高峰时段网络能力限制区段;然后建立考虑时间及路径双重约束的地铁网络断面客流构成反推模型和设计迭代算法推定网络中限制区段的断面客流构成,并归类排序.以上海地铁网络限制区段曹杨路-隆德路为研究对象,推定得到早高峰8:30~9:00时段该区段的断面客流构成,验证了模型及算法的可行性.
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| 关 键 词： | 地铁网络 限制区段 反推模型 断面客流构成 迭代算法 |
| 收稿时间： | 2017/10/24 0:00:00 |
| 修稿时间： | 2018/5/17 0:00:00 |
Estimation Method of Section Passenger Flow Composition for Metro Network with Constraints of Time and Route |
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| HUANG Zhiyuan,XU Ruihu,ZHOU Feng and XU Tianjie.Estimation Method of Section Passenger Flow Composition for Metro Network with Constraints of Time and Route[J].Journal of Tongji University(Natural Science),2018,46(7):0920-0925. |
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| Authors: | HUANG Zhiyuan XU Ruihu ZHOU Feng and XU Tianjie |
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| Institution: | Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China,Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China,Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China and Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China |
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| Abstract: | For relieving the peak hour congestion in metro network and inducing part of passengers to take a less crowded route effectively to optimize the distribution of network passenger flow, capacitated sections in the network were identified firstly by calculating their load factor. Then an estimation model was constructed considering constraints of time and route and an iterative algorithm was designed to calculate the passenger flow composition of capacitated section in the metro network. The passenger flow composition was classified according to the characters of orgin and destination(OD). Capacitated section Caoyang Rd. Longde Rd. in Shanghai metro system was selected as a research object. The passenger flow composition resulted in the congestion of Caoyang Rd.-Longde Rd. during the morning peak period 8:30~9:00 is obtained. The results have verified the feasibility of the model and algorithm proposed in this paper. |
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| Keywords: | metro network capacitated section estimation model section passenger flow composition iterative algorithm |
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