延误条件下综合多种策略的城轨列车运行调整优化

Optimization of urban rail transit operation adjustment based on multiple strategies under delay

为制定在晚点恢复和缓解乘客滞留两方面更高效的列车运行调整方案,提出包括赶点、扣车、跳停策略及实行动态停站时间在内的列车运行一体化调整方法,结合列车实际运行情况设立运行和调整约束,以乘客总旅行时间最小为目标建立模型,并设计嵌套式遗传算法进行求解。案例结果表明:本文方法相比常规调整方法在各种情形下均能使受延误直接影响的列车提前完成晚点恢复,可有效缓解因延误造成的乘客候车时间过长或乘客滞留情况。

In order to develop a more efficient train operation adjustment scheme in terms of recovering train delay and easing of passenger detention,an integrated train operation adjustment method was put forward,which includes a time-exceeding strategy,a train deduction strategy,a skip-stop strategy and a dynamic dwell time.Then,combined with the actual operating conditions of the train,the operation constraints and adjustment constraints were set up,and a model with the target of minimizing the total travel time was established.Finally,according to the characteristics of the model,a corresponding nested genetic algorithm was designed to solve the model.The results of the case show that compared with the conventional train operation adjustment method,the proposed integrated adjustment method can make the train which was directly affected by delay complete the delay recovery in advance in various kinds of situations,and can effectively alleviate the long waiting time or detention of passengers caused by the delay.