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Road transport scheduling method

A scheduling method and road transportation technology, applied in the direction of instruments, data processing applications, calculations, etc., can solve the problems of poor rationality, low scheduling efficiency, high road transportation efficiency, and high transportation costs

Active Publication Date: 2016-06-08
GUANGZHOU ZHIYING NETWORK TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Many enterprises realize their transportation scheduling arrangements through transportation scheduling through the establishment of transportation scheduling departments. Manually arranged transportation scheduling schemes often do not fully consider the quantity of transported goods, available vehicles and the maximum load of vehicles, loading and unloading time requirements at the starting and ending points, loading and unloading The geographical location of the point, the working time of the driver, and other information can only be compiled on the basis of personal experience, rather than forming an optimal dispatching arrangement based on the above information
[0004] Therefore, the scheduling arrangement made by the existing technology for the road transportation needs of enterprises is inefficient and unreasonable, resulting in low efficiency of road transportation and high transportation costs

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0144] Example 1: Take goods from different locations and return them to the same location. In the order in this example, the goods need to be retrieved from different locations to the same location. The following is the vehicle data:

[0145]

[0146] The following is the order data

[0147]

[0148]

[0149] figure 2 is the map display of the geographical information location of the order, image 3 is the path information on the map ( pickup location, delivery location, Departure / receive location), the scheduling result is: arrange the vehicle Guangdong AC2169, and the driving route is: Liuxin Road, Nansha District, Guangzhou City, Guangdong Province, China---Shinan Avenue, Nansha District, Guangzhou City---Wuzhou, Nansha District, Guangzhou City No. 1 Shanbei Road---Jigushan Road, Nansha District, Guangzhou City---No. 5 Huangge West Road, Nansha District, Guangzhou City---Guangfeng East 1st Road, Nansha District, Guangzhou City, Guangdong Province, China---...

Embodiment 2

[0150] Example 2: For orders with opposite pick-up and delivery locations, automatic scheduling will automatically arrange them together to reduce empty loads. In this example, the system automatically arranges together orders with similar pick-up and delivery locations to improve transportation efficiency. The following is the vehicle data:

[0151]

[0152] Below is the order data (initial order)

[0153]

[0154]

[0155] Figure 4 is the map display of the geographical information location of the order, Figure 5 is the route 1 information on the map, Image 6 is the path 2 information on the map ( pickup location, delivery location, departure / receiving location), the following are the scheduling results:

[0156] Route 1: Arrange the vehicle Guangdong AHQ143, and the driving route is: Miaotou Road, Huangpu District, Guangzhou City, Guangdong Province, China---No. 112 Dongjiang Avenue, Luogang District, Guangzhou City---No. 5 North Yuebu Avenue, Shunde Di...

Embodiment 3

[0158] Example 3: For an appropriate amount of orders, the system will automatically assign the same vehicle to complete orders with similar routes. For orders with similar routes in the example, the system will arrange the same vehicle for one delivery to improve transportation efficiency. In this example, the system Automatically integrate and arrange orders with similar pick-up and delivery locations to improve transportation efficiency. The following is the vehicle data:

[0159]

[0160] The following is the order data

[0161]

[0162]

[0163] Figure 7 is the map display of the geographical information location of the order, Figure 8 is the route 1 information on the map, Figure 9 is the path 2 information on the map ( pickup location, delivery location, departure / receiving location), the following are the scheduling results:

[0164] Route 1: Arrange vehicle Guangdong AHQ143, driving route: Wanhuan West Road, Nansha District, Guangzhou City, Guangdon...

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Abstract

The invention discloses a highway transportation scheduling method capable of meeting the demands of timeliness and economical efficiency and improving the vehicle scheduling efficiency. The highway transportation scheduling method comprises the steps of: 1) inputting all initial order information and vehicle information to form an initial order set and a vehicle set; 2) merging initial orders in the initial order set to obtain a virtual order, and forming a virtual order set by the residual initial orders after all virtual orders are merged; and 3) selecting a proper vehicle from the vehicle set to transport the virtual order and the initial order in the virtual order set, wherein a strategy that the faster the order is served and the better the effect is, or the least vehicles are utilized can be adopted for vehicle selection. Limited transport vehicle resources are utilized under a plurality of constraint conditions such as limitations of transportation time and distance condition, demands on working time of a driver and the maximal loads of the vehicles; and the vehicles can be reasonably arranged and an optimal path is planned to finish an appointed transportation task within specific time through the optimized scheduling scheme.

Description

technical field [0001] The present invention relates to the field of road transportation, in particular, relates to a transportation vehicle (transportation vehicle) limited in use under multiple constraint conditions such as transportation time and distance constraints, driver's working time requirements, and vehicle maximum load. ) resources, through an optimized scheduling plan, reasonably arrange vehicles within a specific time and plan the optimal path to complete the specified transportation tasks, meet the timeliness and economy requirements, and improve the efficiency of vehicle scheduling. Background technique [0002] Many industries (especially third-party logistics, but not limited to third-party logistics) have high requirements on the timeliness and efficiency of transportation. Efficient transportation planning and arrangement can help enterprises better realize supply chain management, support enterprise JIT production, and achieve the purpose of reasonable m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q50/30
Inventor 李智杰缪兴锋
Owner GUANGZHOU ZHIYING NETWORK TECH
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