Metro rescue vehicle planning method based on combined queuing

Abstract

The invention discloses a metro rescue vehicle planning method based on combined queuing. The invention relates to the metro rescue vehicle planning method based on combined queuing, which comprises the following steps that a spatial combined queuing theory method is introduced on the basis of the operation process of the metro rescue vehicle, so that rescue vehicles located at different positionsof the metro network are defined as a multi-service station queuing system with spatial distribution; then based on the stochastic process theory, the joint queuing theory method for metro rescue vehicle planning is established, and the state equilibrium equations are listed. The invention has the following beneficial effects that according tothe metro rescue vehicle planning method based on combined queuing, the metro rescue system can balance the working intensity of the rescue vehicle (i.e., the proportion of the rescue vehicle in the rescue time), so that the rescue vehicle is reasonableand the utilization rate is maximized; the metro rescue system can save the total cost, under the same conditions, there are fewer rescue vehicles, with the least resources to do the maximum things.

Description

technical field [0001] The invention relates to the field of traffic technology, in particular to a planning method for subway rescue vehicles based on joint queuing. Background technique [0002] Subway transportation has the advantages of large capacity, fast speed, punctuality, environmental protection and energy saving. Many major cities in the world have built subways. Subway has become the main way to solve the worsening urban traffic problems. However, once major accidents such as terrorist attacks and fires occur in the subway with a huge passenger flow, it will cause serious loss of life and property. Subway accidents occur frequently, and quick rescue is the key to subway emergency rescue. Fire accounts for 63% of subway accidents and requires special tools, equipment and personnel for rescue. Therefore, once a major accident occurs in the subway, how to carry out emergency rescue in a short time and reduce the loss of life and property. [0003] At present, ma...

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Problems solved by technology

[0005] However, since the state combination of the rescue vehicle in the hypercube model has 2 N (N is the number of rescue vehicles), each state requires 1 storage space, so as N increases, the demand for storage space increases exponentially, and the approximate algorithm cannot greatly reduce the storage space demand, so it takes a long time to solve

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