Method and device for determining dispatching strategy
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A strategy and fleet technology, applied in the field of data processing, can solve the problem that the bus departure strategy does not meet the practical application.
Active Publication Date: 2018-09-14
重庆交通开投科技发展有限公司
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[0005] In view of this, the purpose of the present invention is to provide a method and device for determining the departure strategy, so as to alleviate the optimization of the bus departure strategy in the prior art and only consider the average speed of the bus and the beginning and end of the bus operation. station, resulting in the
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Embodiment 1
[0028] According to an embodiment of the present invention, an embodiment of a method for determining a departure strategy is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings may be executed in a computer system such as a set of computer-executable instructions, and, Although a logical order is shown in the flowcharts, in some cases steps shown or described may be performed in an order different from that herein.
[0029] figure 1 is a method for determining a departure strategy according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:
[0030] Step S102, acquiring target data, wherein the target data is data used to specify the departure strategy of the target fleet, and the target data includes at least one of the following: passenger flow data, position data of each vehicle in the target fleet , the basic attribute data of each vehicle in the target fleet, the bas...
Embodiment 2
[0065] Figure 4 is a device for determining a departure strategy according to an embodiment of the present invention, such as Figure 4 As shown, the device includes: a first obtaining device 10, a second obtaining device 20 and a computing device 30, wherein,
[0066] The first obtaining device 10 is configured to obtain target data, wherein the target data is data used to specify the departure strategy of the target fleet, and the target data includes at least one of the following: passenger flow data, in the target fleet. The position data of each vehicle, the basic attribute data of each vehicle in the target fleet, the basic attribute data of each driver in the target fleet, the vehicle charging data of each vehicle in the target fleet, the Vehicle maintenance data for each vehicle in the target fleet;
[0067] The second obtaining device 20 is configured to obtain the target expectation of the target fleet, wherein the target expectation includes at least one of the f...
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Abstract
The invention provides a method and device for determining a dispatching strategy and relates to the technical field of data processing. The method comprises the following steps: acquiring target data, wherein the target data is data used for specifying a dispatching strategy of a target motorcade; acquiring target expectation of the target motorcade, wherein the target expectation comprises at least one of the following parameters: operating cost of the target motorcade, passenger satisfaction of the target motorcade and a ratio of quantities of people and vehicles in the target motorcade; respectively inputting the target expectation and the target data into each of a plurality of algorithms, thereby obtaining a plurality of dispatching strategies and score values of each dispatching strategy. According to the method disclosed by the invention, the technical problem that the dispatching strategy cannot meet actual application requirements because single factors such as an average speed of the vehicles, initial and terminal stations of vehicle running and the like are taken into consideration only in the process of solving optimization of the dispatching strategy in the conventional technical scheme is solved.
Description
technical field [0001] The present invention relates to the technical field of data processing, and in particular, to a method and device for determining a departure strategy. Background technique [0002] The bus departure strategy mainly includes two aspects: one is the departure location of the bus and the number of vehicles, and the other is the frequency of departure at different locations and the approximate time to complete a lap. [0003] As far as the optimization of departure interval in bus scheduling in departure strategy is concerned, it is recognized as a NP-hard problem in the world. Therefore, heuristic algorithms are generally used to solve this problem. At present, genetic algorithms are used to solve this problem. However, these algorithms generally assume that the bus runs on the road at an average speed, the bus only leaves at the first and last stations, and does not distinguish between different types of buses and the driving level of the driver. Howe...
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