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Vehicle scheduling method and vehicle scheduling system

A vehicle scheduling and vehicle technology, which is applied in the field of logistics, can solve the problems of increasing vehicle driving distance, regardless of constraints, and increasing vehicle scheduling costs, so as to achieve the effect of reducing scheduling costs and driving distance

Inactive Publication Date: 2017-08-25
SAIC MOTOR
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Problems solved by technology

[0004] However, the vehicle allocation plan based on dynamic programming in the prior art usually randomly allocates vehicles for each order, without considering the constraints between each order, it is easy to increase the driving distance of the vehicle, and then increase the scheduling cost of the vehicle

Method used

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  • Vehicle scheduling method and vehicle scheduling system
  • Vehicle scheduling method and vehicle scheduling system
  • Vehicle scheduling method and vehicle scheduling system

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Embodiment Construction

[0047] Explanation of terms:

[0048] Community discovery algorithm: The community discovery algorithm is a clustering algorithm in the field of machine learning. The idea of ​​the algorithm is: first assign a unique label to each node, and in each step of iteration, each node updates its own label to its neighbor nodes The label with the most occurrences in , if there are multiple same most labels, randomly select one as the update value, after several iterations, the densely connected nodes will converge to the same label, and the nodes with the same label will be classified into a community.

[0049] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of t...

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Abstract

The invention discloses a vehicle scheduling method and a vehicle scheduling system. At least one order data inputted by a user is received, and the at least one order data that satisfies the same constraint condition is packaged into at least one order bundle; according to order departure places of the at least one order bundle, region division is carried out on the at least one order bundle through a clustering-based community discovery algorithm, and at least one region order bundle is generated; through a dynamic programming method with constraints, packing planning and path planning are carried out on the at least one region order bundle, a vehicle distribution plan is generated for the at least one region order bundle according to the packing planning and the path planning, and vehicle scheduling is carried out according to the vehicle distribution plan. Vehicles can be intelligently distributed according to distances of the order departure places through the clustering-based community discovery algorithm, packing planning and path planning can be carried out through the dynamic programming method with constraints, the usable volume of a vehicle is made full use of, the driving distance of the vehicle is reduced, and the scheduling cost of the vehicle is reduced on the whole.

Description

technical field [0001] The present application relates to the technical field of logistics, in particular to a vehicle scheduling method and system. Background technique [0002] With the gradual improvement of the traffic road network, the logistics and transportation industry has developed rapidly. The logistics and transportation industry will formulate a vehicle allocation plan according to each order, allocate transportation vehicles for each order, and then carry out vehicle scheduling, and send each order from its respective departure place. delivered to their respective destinations. [0003] The vehicle allocation plan in the prior art usually allocates vehicles for each order through a dynamic programming method. Dynamic programming is a branch of operations research, which is a mathematical method for solving the optimization of decision-making process. In the early 1950s, when American mathematicians R.E. Bellman and others studied the optimization problem of m...

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Application Information

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IPC IPC(8): G06Q10/08
CPCG06Q10/08355
Inventor 金忠孝
Owner SAIC MOTOR
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