Vague predicting method and system for city short-distance logistics simple target delivering time

A technology of fuzzy prediction and logistics order, applied in the field of logistics, can solve problems such as unavailable forecast time, lack of scientific basis, and unsatisfactory results, and achieve the effect of reducing transit time, improving service quality, and simple methods

Inactive Publication Date: 2014-05-14
中商商业发展规划院有限公司
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AI Technical Summary

Problems solved by technology

[0002] Due to the dense road network in the city and the complex and changeable road conditions, there are too many factors affecting the speed of logistics vehicles, and it is impossible to determine them one by one. prediction time; if it relies entirely on the driver's own experience and lacks scientific basis, it is highly arbitrary and the effect is not ideal

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  • Vague predicting method and system for city short-distance logistics simple target delivering time

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Embodiment 1

[0038] A fuzzy prediction method for single target delivery time of urban short-distance logistics, including:

[0039] Step 1: Determine different logistics routes according to the actual logistics distribution, and divide the logistics routes into multiple independent road sections;

[0040] The second step: through the GPS positioning system, real-time collection of the location of the distribution vehicle in each section of the different logistics routes

[0041] passing time;

[0042] Step 3: Generate each independent road section identification according to the chronological order of the collected passage time values ​​of each road section. The identification is divided into at least four sections, the first section is the area code, the second section is the road section code, and the third section is time. The window code and the fourth section are road section passing time values, wherein the time window code sequence includes date code and time code;

[0043] Step ...

Embodiment 2

[0095] A system for realizing the fuzzy prediction method for single target delivery time of urban short-distance logistics described in Embodiment 1,

[0096] see figure 1 , the system includes:

[0097] A prediction server 1: the server is used to determine different logistics routes according to actual logistics distribution, and divides the logistics routes into multiple independent road sections;

[0098] A data collector 2 connected to the server: the data collector collects the passing time of each road section of the distribution vehicle in different logistics routes in real time through the GPS positioning system;

[0099]An identification processing device 1-1 set in the server: the identification processing device generates each independent road section identification according to the time sequence of the collected passing time values ​​of each road section, and the identification is divided into at least four sections, the first section is logistics The route are...

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Abstract

The invention discloses a vague predicting method and system for city short-distance logistics simple target delivering time. First, different logistics routes are determined according to actual logistics distribution, and the logistics routes are divided into a plurality of independent road sections. Then passing time of distributing vehicles on all the road sections in different logistics routes is collected in real time through a GPS locating system. The collected road section passing time value is used for generating independent road section marks according to the time sequence. The independent road section marks generated in the logistics routes are stored in a sample base as samples in the logistic routes. Finally, a time cycle is selected, a vague predicating result of simple target distributing time is generated. The method is simple, and strong in operability. Moreover, the prediction result can be basically used as distribution time window selection in items, so that the vague predicting method and system can improve the logistics distribution service quality and reduce the on-passage time of fresh farm products.

Description

technical field [0001] The present invention relates to the field of logistics, in particular to a method and system for fuzzy prediction of delivery time of single target delivery in urban short-distance logistics, using the time-consuming experience value of historical delivery to obtain the best delivery period for each task order, that is, the logistics window, Combined with route optimization, it helps drivers arrange delivery order reasonably, speed up task completion, ensure the quality of goods, and improve user satisfaction. Background technique [0002] Due to the dense road network in the city and the complex and changeable road conditions, there are too many factors affecting the speed of logistics vehicles, and it is impossible to determine them one by one. If you rely entirely on the driver's own experience, lack of scientific basis, strong randomness, and unsatisfactory results. Contents of the invention [0003] The purpose of the present invention is to ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G06Q10/04G06Q50/28
Inventor 刘普合王勇罗杰含段月永王雅静
Owner 中商商业发展规划院有限公司
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