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机构地区:[1]北京交通大学城市交通复杂系统理论与技术教育部重点实验室,北京100044
出 处:《铁道学报》2009年第3期89-93,共5页Journal of the China Railway Society
基 金:国家自然科学基金资助项目(50778016);国家高技术研究发展计划(863计划)项目(2006AA11Z201);留学回国人员科研启动基金项目(教外司留[2008]101号)
摘 要:为研究城市轨道交通乘客上车的时间规律,建立分段形式的数学模型。基于实测的乘客上车时间数据,统计分析轨道交通乘客上车的时间特性,发现乘客平均上车时间具有分段特性,并受座位数量、车厢内乘客数量、列车关门提示音等因素的影响;在车门宽度为1.3 m左右时,乘客具有分两队上车的特性。结合乘客上车时间的分段特性,建立分段形式的乘客上车时间模型,并根据实测数据,拟合了模型中的相关参数;结合乘客分队列上车的特性,把车门宽度对乘客上车时间的影响引入模型中,建立考虑车门宽度的乘客上车时间模型。实例表明,该模型计算结果与实际观测结果误差小于2 s,能有效反映轨道交通乘客的上车时间。The piecewise mathematical model in urban rail transit. Based on the field data sengers were analyzed, the average boarding was established for studying the rules of passenger boarding time of passenger boarding time, time characteristics of boarding pastime is piecewise and is influenced by the seats count, passengers count in the carriages and the urgent voice of closing doors and so on. Passengers usually get on a train in two layers as the door width is about 1.3 m. Combing with the layer piecewise characteristic of boarding time, a piecewise mathematical model was put forward, and the parameters of the model were fitted according to the field data. Combing with the layer phenomenon of boarding passengers, the width of the door was introduced into the model as an important factor and the model considering the door width was established. The practical example shows that the error between the calculated results and the field data is less than 2 s, and the modal can calculate passengers boarding time effectively.
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