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

Abstract: 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 characteristics of non-basic trip and builds a preliminary waiting psychological time model of non-basic trip based on physical psychology. By means of stochastic process theory, key problems of trips taken by urban rail transit are analyzed; subject to breakeven operation and system supply characteristics, this paper sets a multi-objective assistant decision model to maximize the benefit of the operation company and travelers. To realize the demand of assistant decision, it sets an intuitively expressed algorithm which has variable weight. Finally, an example is given to prove the correctness and effectiveness of the model.

Key words: operation scheme, multi-objective assistant decision, off-peak period, stochastic process, psychological time