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Cargo transportation route planning method and system based on history data and server

A technology of path planning and historical data, applied in the information field, can solve problems such as complex road network distribution, and achieve the effect of accurate selection

Inactive Publication Date: 2017-11-14
CHINA AGRI UNIV
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Problems solved by technology

However, sometimes the network distribution of roads is relatively complex, and the development trend of road conditions must also be considered

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  • Cargo transportation route planning method and system based on history data and server
  • Cargo transportation route planning method and system based on history data and server
  • Cargo transportation route planning method and system based on history data and server

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Embodiment Construction

[0059] 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 only some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0060]figure 1 It shows a schematic flow diagram of a freight route planning method based on historical data provided by an embodiment of the present invention, as shown in figure 1 As shown, the freight route planning method based on historical data in this embodiment is applied to the server, including steps 101-105:

[0061] 101. Receive the d...

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Abstract

The invention provides a cargo transportation route planning method and system based on history data and a server. The method comprises the steps of receiving a departure point, a destination and departure time input by a user; searching tracks matching the departure point, the destination and the departure time from a pre-established history track database; carrying out clustering analysis on the obtained tracks matching the departure point, the destination and the departure time, thereby obtaining different kinds of tracks; obtaining the average time overhead of each kind of tracks after the clustering according to duration of each track in each kind of tracks after clustering; and planning cargo transportation routes for selection of a user, according to each kind of tracks after clustering and the average time overhead of each kind of tracks. According to the method, the system and the server, the cargo transportation routes are planned based on true history data, the time overhead corresponding to each kind of planned routes is obtained, and the user can carry out relatively accurate selection on the routes according to own specific demands.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a freight route planning method, server and system based on historical data. Background technique [0002] Shipping time is a very important cost when shipping those time-sensitive commodities. Path planning is a relatively common problem these days. Traditional path planning is mainly based on the shortest path algorithm based on the map, or the shortest real-time algorithm, etc., which do not consider the actual location information, such as gas stations, traffic restrictions and other road factors. However, sometimes the network distribution of roads is relatively complex, and the future development trend of road conditions must also be considered. Generally speaking, the planning of the path mainly considers the cost of time, and the current research mainly focuses on the time prediction of a certain road segment. [0003] As positioning technology becomes more and mo...

Claims

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Application Information

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IPC IPC(8): G06Q10/08G06Q50/28
CPCG06Q10/08355G06Q10/08
Inventor 孙瑞志史银雪王文狄袁钢
Owner CHINA AGRI UNIV
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