Dynamically adjustable emergency transport scheduling plan generation method

Abstract

The invention discloses a dynamically adjusted emergency transportation scheduling plan generation method, including 1: dividing the entire transportation scheduling time evenly into T cycles, using r to represent the cycle number of the current decision, r∈{1,...,T }, the initial value of r is 1; 2: Obtain the environmental information of E cycles starting from the first cycle, run the initial planning decision model, generate the initial plan for E scheduling cycles, and execute the plan of the first scheduling cycle , then let r=r+1; 3: Collect the actual execution of the decision generated from the first period to the (r-1)th period, and from the period r to the period min(r+E-1, T) 4: According to the information collected in step 3, run the adjustment decision model to generate scheduling decision plans for multiple periods starting from the current period r, but only execute the plans belonging to the current period r; 5: Update r =r+1, if r≤T, go to step 3, otherwise the scheduling ends. The invention has the advantage of dynamically optimizing and adjusting the emergency resource scheduling plan according to the result of continuous updating of information.

Description

technical field [0001] The invention belongs to the field of emergency management, and in particular relates to a method for generating a dynamically adjusted emergency transportation dispatch plan. Background technique [0002] After a major natural disaster such as a strong earthquake occurs, the demand for materials at each disaster-stricken site, the number of wounded, and the number of disposals will generally increase in a blowout manner. In order to minimize the loss of life and property of the people in the disaster area, it is necessary to quickly organize emergency resource transportation and dispatch after the disaster and other disaster relief operations in order to transport all kinds of urgently needed materials to the disaster area and transfer the wounded and sick who cannot be treated on the spot. However, when organizing and dispatching these transportation activities, post-disaster rescue command decision makers not only need to consider the dynamics of fa...

AI Technical Summary

Problems solved by technology

The emergency resource scheduling based on multi-period planning only considers the emergency resource scheduling plan based on the current time for a period of time in the future, and does not consider the impact of information "feedback" on the scheduling plan during the plan execution process; research on dynamic scheduling based on the idea of ​​disturbance management However, it focuses on the research of frequent emergencies under normal circumstances, and focuses on the "local adjustment" of the original plan after the occurrence of disturbance events. There are few research results on sudden major natural disasters, and most of the research on post-disaster emergency logistics The research is limited to the vehicle route planning (VRP) problem; the research on emergency resource transportation scheduling based on Bayesian decision theory, the design of Bayesian risk depends on the prior probability and the subjective consciousness and level of the researcher, and the objectivity is relatively insufficient

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