A method for analyzing the long-distance running route of drivers in logistics transportation

Abstract

The invention relates to a method for analyzing a long-distance running route of a driver in a logistics transportation, comprising the following steps: 1) analyzing a consumption record to obtain a correspondence relation table (CT) between a province and a toll station in the whole country; 2) obtaining a basic network acquisition data table (NT) through a Baidu map data service, wherein the network acquisition data table (NT) stores all the collected fields; 3) obtaining a base table (FT) from a data table (NT) by matching a site name in a correspondence relation table (CT) through a provincial association; 4) saving the name of the station which is not matched in the step 3) and waiting for manual processing; 5) performing the step 2) once a week, comparing the data table (NT) obtain by the network, obtaining the correspondence relationship between the prefecture and the city of the station by the newly added station using the step 3), adding the correspondence relationship into the basic table (FT), inquiring about the failure to use the step 4), and performing manual processing; 6) cleaning the consumption record data by using a foundation table (FT), cleaning the full amountof high-speed traffic data for the first time, and cleaning the incremental data once a week.

Description

technical field [0001] The invention relates to a logistics transportation system, in particular to a method for analyzing long-distance running routes of drivers in logistics transportation. Background technique [0002] The formation of logistics transactions includes two factors: supply of goods and capacity. In the transaction, the shipper uses the non-owned transportation capacity obtained by the information department or other channels to carry out cargo transportation. The risk control of the transportation capacity is relatively weak, and it is difficult to judge the reliability of the transportation capacity. [0003] In order to solve the above problems, in the existing logistics transportation system, the risk control of transportation capacity is improved through the transportation card processing, and at the same time, a large amount of user authentication information and lane consumption data are obtained through the transportation card processing. In the actu...

AI Technical Summary

Problems solved by technology

[0004] However, in the logistics and transportation system, the current driver’s long-distance running route information is generally entered completely manually, which has the following defects: (1) completely manual entry, which is easy to cause data errors; (2) random entry, often inconsistent with the actual situation