| 引用本文: | 张思佳,贾顺平,毛保华,麻存瑞,王瑜琼.考虑接运公交站点排队的通勤客流分配模型[J].哈尔滨工业大学学报,2019,51(3):121.DOI:10.11918/j.issn.0367-6234.201711024 |
| ZHANG Sijia,JIA Shunping,MAO Baohua,MA Cunrui,WANG Yuqiong.Passenger flow assignment model considering the queuing process of commuters at feeder bus stations[J].Journal of Harbin Institute of Technology,2019,51(3):121.DOI:10.11918/j.issn.0367-6234.201711024 |
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| 考虑接运公交站点排队的通勤客流分配模型 |
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张思佳1,2,贾顺平1,2,毛保华1,2,麻存瑞1,2,王瑜琼1,2
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(1. 城市交通复杂系统理论与技术教育部重点实验室(北京交通大学), 北京 100044; 2.北京交通大学 交通运输学院, 北京 100044)
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| 摘要: |
| 为更加准确的描述接运轨道站点的公交网络内通勤乘客的出行选择行为,以典型通勤OD、固定乘客总需求下,接运轨道交通站点的各公交线路客流选择行为为研究对象,以早高峰通勤出行为例,考虑不同出发时刻的乘客实际到站时刻与车辆到达时刻间的关系,对乘客在接运公交线路站点的候车排队过程进行较为细致的定量描述,改进了既有出行广义费用中对站点候车时间的计算方法,建立了基于Logit-SUE的公交线路配流模型,并通过算例与既有研究进行对比,分析模型中时间步长t-及乘客对路径阻抗感知系数θ对配流结果的影响.结果表明:模型中t-的取值变化不会引发配流结果较大程度的改变.t-越小,对候车时间的计算越贴近现实情况,当t-增大到乘客可在一个时间步长内全部出发时,配流结果与既有文献一致.同时,模型中,当θ较小时,乘客对路径阻抗的感知与实际存在一定差距,配流结果随机性较强;θ越大,乘客对阻抗的感知越贴近现实,实际阻抗越小的线路选择概率则越大. |
| 关键词: 城市交通 接运公交 站点排队 客流分配 通勤出行 选择行为 |
| DOI：10.11918/j.issn.0367-6234.201711024 |
| 分类号:U491.1 |
| 文献标识码:A |
| 基金项目:中央高校基本科研业务费专项资金(2017YJS092)； 国家自然科学基金(2,1) |
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| Passenger flow assignment model considering the queuing process of commuters at feeder bus stations |
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ZHANG Sijia1,2,JIA Shunping1,2,MAO Baohua1,2,MA Cunrui1,2,WANG Yuqiong1,2
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(1.MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology (Beijing Jiaotong University), Beijing 100044, China; 2. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)
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| Abstract: |
| To accurately describe features of passengers’ route choice behaviors of feeder bus lines, this research took the commuting trips during morning peak period under a typical commuting OD as study object, and established a passenger flow assignment model based on Logit-SUE model, which considers the relationship between the actual arrival time of passengers and the arrival time of vehicles. This model proposed a detailed quantitative description of the passengers’ queuing process at bus stations and improved the existing calculation method of waiting time at bus stations in the generalized travel cost measuring. Then the feasibility of the model was verified by comparison with previous studies, and the influences of the time step length t- and passengers’ perception coefficient of the path cost θ on the choice probabilities of different bus lines were analyzed. Results indicated that the modelling results will not have a big change when t- changes. Smaller t- leads to more accurate calculation results of waiting time. If all the commuters start at time t-, the model results in this paper correspond with that of the previous studies. However, when θ is small, there is a certain gap between the passenger perceived route costs and the actual costs. Big θ makes passengers feel closer to the reality of impedance so when θ is bigger, the choice probabilities of feeder bus lines with low costs are bigger. |
| Key words: urban traffic feeder bus queuing process at stations passenger flow assignment commuting trip choice behavior |
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