A method and system for dynamic regional logistics delivery based on intelligent unmanned vehicles

Abstract

The present invention provides a dynamic regional logistics delivery method and system based on an intelligent unmanned vehicle. Using the environment perception system of an unmanned vehicle, a dynamic path optimization algorithm based on a road resistance function and a multi-location delivery sequence optimization method based on a scanning method are established, so that The intelligent unmanned logistics vehicle can adjust the delivery route at any time according to the road conditions during the delivery, and select the optimal path to complete the delivery, realizing the dynamic path planning of the unmanned vehicle logistics delivery in the area, shortening the delivery time and improving the delivery efficiency. At the same time, an intelligent information interaction system based on vehicle-road coordination has been built to realize real-time communication and sharing of logistics status among vehicles, goods and people. Applying the system in residential areas, campuses and other regional locations can improve traffic conditions to a certain extent, reduce logistics and transportation costs, bring consumers a better experience, and realize truly intelligent and unmanned logistics and transportation industries. Offer possible.

Description

technical field [0001] The invention belongs to the technical field of intelligent logistics transportation / unmanned vehicle regional transportation, and specifically relates to a kind of logistics transportation at regional locations, in which goods are dispatched by intelligent unmanned vehicles, combined with real-time dynamic path optimization algorithms and intelligent interactive systems, in the improvement area Save human resources while improving the efficiency of logistics delivery to certain locations. Background technique [0002] At present, logistics delivery in regional locations mostly relies on manpower, with the help of vehicles such as electric vehicles and bicycles. This method is not only inefficient, but also easily leads to problems such as regional management confusion and poor customer satisfaction. To solve the current situation of "small and scattered" in the field of logistics and freight transportation, it is a better choice to use intelligent unm...

AI Technical Summary

Problems solved by technology

[0009] 2. Unmanned vehicle positioning and navigation system

[0014] 1. For the selection of the delivery route, they all navigate according to the established route. The amount of information is single and the real-time performance is weak. The delivery route cannot be adjusted and re-planned according to the road conditions. The response to emergencies is low and the mobility is poor. , did not make full use of the environment perception function of intelligent unmanned vehicles to obtain real-time road conditions and optimize the delivery route;

[0015] 2. For the arrangement of multi-location delivery order, most of them are randomly distributed by logistics vehicles

There is no overall planning of the delivery location to obtain the optimal delivery route, resulting in a failure to reduce vehicle mileage and improve delivery efficiency;

[0016] 3. For the real-time communication and information sharing between vehicles, goods and people, there is no information interaction module between the delivery terminal and the logistics vehicle, and it is impossible to understand and respond to problems and emergencies in the delivery process in a timely manner, thus affecting its Scheduling and maintenance of intelligent logistics delivery vehicles

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