摘要
大型换乘站具有客流量大、客流状况复杂的特点,需要进行有序组织,传统算法主要采用城市道路交通预测方法进行客流组织。忽略了突发情况下大型换乘站客流的盲目性和无序性,导致大型换乘站客流组织效果差,严重的影响大型换乘站的正常运营。提出一种新的大型换乘站客流组织优化技术,对人群正交实验结果进行分析与预测,在预测的基础上建立调度模型,选取符合要求的客流组织评价指标,通过对大型换乘站内乘客的常规活动进行仿真,运用灰色定权评价法对车站的实际客流运行情况进行判定,根据判定结果实时调整大型换乘站客流量,实现客流组织优化。仿真结果表明,优化方案可以对大型换乘站客流进行有效的组织。
Large transfer station has characteristic of heavy passenger volume and complex passenger flow situation. It needs to be organized orderly. Traditional algorithm mainly utilizes prediction method of urban roadway traffic to organize passenger flow. It ignores blindness and randomness of passenger flow in emergency and leads to poor effect of organization. The normal operation of large transfer station is influenced seriously. In this paper, we propose an optimization technique of passenger flow organization in large transfer station. Firstly, we analyze and predict the result of crowd orthogonal experiment. The scheduling model is built to choose satisfactory evaluation index of passenger flow organization based on prediction. Then we use the grey fixed weight evaluation method to judge actual passen- ger flow situation through simulation on routine action of passenger. Finally we adjust real-time passenger flow volume to achieve optimization of passenger flow organization according to the result. The simulation results show that the optimization scheme can organize passenger flow effectively.
出处
《计算机仿真》
北大核心
2017年第1期148-151,161,共5页
Computer Simulation
基金
2016河北省高等学校科学技术研究青年基金项目(QN2016237)
关键词
大型换乘站
客流组织优化
正交实验设计
Large transfer station
Passenger organization optimization
Orthogonal design
