Train operation plan adjustment risk control method for emergency uncertainty

Abstract

The invention discloses a train operation plan adjustment risk control method for emergency uncertainty, and the method comprises the steps: building an uncertainty train operation plan adjustment model by minimization of risk value of train arrival and departure late cost as an optimization target, and adjusting the arrival and departure time and sequence of a train, thereby achieving the adjustment of the train operation plan; when the minimum station operation time constraint, the minimum interval operation time division constraint, the minimum tracking interval constraint, the graph-baseddriving constraint before emergency, the interval blocking constraint are met, indicating that a station does not allow advanced dispatching constraint; when a train sequence in a locked range is adjusted, according to different risk preference conditions of a scheduling decision maker, selecting the corresponding train operation plan adjusting scheme, effectively handling uncertainty of emergencies, and controlling risks for trains being late so that safety of the high-speed rail dispatching command system is improved, and train dispatching intellectualization is achieved.

Description

technical field [0001] The invention relates to the technology in the field of high-speed train dispatching control, in particular to a risk control method for train operation plan adjustment oriented to the uncertainty of emergencies. Background technique [0002] High-speed railway traffic dispatching command is the center of daily operation and management of high-speed railway. According to the information of train operation status, equipment control, emergency response, maintenance and repair, etc., the train operation plan is formulated and adjusted, and issued to the train control system for execution. Intelligent scheduling is the key core content to improve the optimal decision-making and collaborative processing capabilities of the high-speed rail dispatching command system, especially the decision-making and processing capabilities of emergencies (gale, rain, snow, mudslides, foreign object intrusion, etc.), and represents the future development of high-speed rail i...

AI Technical Summary

Problems solved by technology

However, the disadvantage of this scheme is that it does not consider the risk preference of the scheduling decision maker

However, the defect of this scheme is that although the risk is considered in the optimization objective, this risk measure cannot effectively deal with the black swan event in which the uncertainty set has the extreme worst case, such as the total fuzzy delay time distribution is in the worst case and Severe delays when nearby

Images