Express delivery method based on autonomous navigation

Abstract

The invention discloses an express delivery method based on autonomous navigation. The method comprises the following steps that (1) express addresses and telephone numbers are added into an APP information adding interface; the step (2) is executed after the addition is completed; (2) a map API is used for converting the express addresses into latitude and longitude; optimum route distance between every two express addresses is calculated; (3) a planning route is obtained according to the optimum route distance between every two express addresses in the second step by combining a convenient-to-sign-in time window of a customer through an optimized delivery route planning algorithm; an express delivery sequence is displayed onto the APP delivery interface; (4) express delivery is performed by a courier according to the delivery sequence on the APP delivery interface; a navigation route is obtained by clicking a one-key navigation press key on the APP delivery interface when an unfamiliar route is met; an APP positions the position of the courier in real time; when the distance from the destination is smaller than 800 meters, a call is automatically made to notify the customer. The method has the advantages that the express management, the path planning, the autonomous navigation and the intelligent calling are integrated; the express delivery efficiency is greatly improved.

Description

technical field [0001] The invention relates to the logistics field of auxiliary express delivery, in particular to an autonomously navigating express delivery method based on an urban delivery path planning algorithm. Background technique [0002] With the vigorous development of e-commerce, there are more and more logistics packages for online e-commerce orders. In the final link of delivery, these packages are delivered by couriers from outlets to consumers. On the other hand, as The Internet has gradually penetrated offline, and more and more intra-city parcel delivery needs have emerged, such as takeaway orders or intra-city orders such as flowers and cakes. The delivery of these two types of parcels is currently the most typical scenario in the last mile delivery in China. [0003] The traditional express delivery method is as follows: the day of the courier begins with sorting the courier, and sorting is the most important step. Know the route to go. The disadvantag...

AI Technical Summary

Problems solved by technology

The disadvantages in the traditional express delivery process are: due to the excessive and unmanaged express, the courier will make mistakes and miss dispatches, which reduces the delivery efficiency. In addition, the courier has a general understanding of the calculated route and the optimal planning route. The gap is very large, the total delivery distance increases, and the delivery time increases. When the courier encounters an unfamiliar route, he needs to check the map and ask for directions, resulting in an increase in delivery time. After the courier arrives at the destination, he will call the customer to inform the customer to pick up the package. Need to wait for the customer to pick up the package, the average waiting time is more than 5 minutes, the delivery efficiency is not high

[0004] However, there is still no effective method to help couriers solve the problems in delivery. Therefore, the present invention proposes a method based on urban delivery path planning algorithm and autonomous navigation to improve delivery efficiency.

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