摘要
为降低城市轨道交通运营成本,提高非高峰期系统效率,针对城市轨道非高峰期客流结构特点,对非基本出行特征进行分析,借鉴物理心理学理论提出了初步的非基本出行候车心理时间模型;借助随机过程,对于城市轨道交通乘客出行关键参数进行分析,依托轨道交通供给特点,考虑保本运营限制,建立了以企业利益和出行者效益最大化的城市轨道交通非高峰期的多目标辅助决策模型;结合辅助决策要求,使可变权重的求解算法对决策结果有较为直观的表达,并结合算例证明了模型的有效性。
To reduce the operation cost and improve system efficiency during the off-peak period of the urban rail transit, according to the characteristics of the flow structure during off-peak period, this paper analyzes the character- istics of non-basic trip and builds a preliminary waiting psychological time model of non-basic trip based on physi- cal psychology. By means of stochastic process theory, key problems of trips taken by urban rail transit are ana- lyzed; subject to breakeven operation and system supply characteristics, this paper sets a multi-objective assistant de- cision model to maximize the benefit of the operation company and travelers. To realize the demand of assistant de- cision, it sets an intuitively expressed algorithm which has variable weight. Finally, an example is given to prove the correctness and effectiveness of the model.
出处
《计算机工程与应用》
CSCD
2012年第28期26-30,共5页
Computer Engineering and Applications
基金
中央高校基本科研业务费专项资金资助(No.SWJTU10XS29)
关键词
列车开行方案
多目标辅助决策
非高峰期
随机过程
心理时间
operation scheme
multi-objective assistant decision
off-peak period
stochastic process
psychological time
作者简介
孙鹏（1984-），男，博士研究生，主要研究方向为交通运输系统优化；
丁宏飞（1985-），男，博士研究生，主要研究方向为交通运输规划与管理；
廖勇（1983-），男，博士，主要研究方向为交通运输规划。E-mail：453136753@qq．com.
