A Path Optimization Method

Abstract

The embodiment of the invention relates to a route optimization method, which comprises the following steps: a server receives actual job information sent by an intelligent vehicle; comparing the actual job route information with the pre-stored job route information, the information of distinguished and non-distinguished sections can be obtained; calculating weights according to actual time consuming information, actual energy consumption information and weight information to obtain a first evaluation value; performing weight calculation according to the pre-stored time-consuming information,the pre-stored energy consumption information and the weight information to obtain a second evaluation value; when the first evaluation value is smaller than the second evaluation value, the pre-stored job path information, the pre-stored time consumption information and the pre-stored energy consumption information being updated. The invention scientifically, reasonably and comprehensively evaluates the actual path information through weight calculation, scientifically and reasonably optimizes the path according to the evaluation result, thereby realizing the automatic driving vehicle to be efficient and energy-saving.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a path optimization method. Background technique [0002] With the development of artificial intelligence technology and computer technology, autonomous driving technology is becoming more and more mature. Autonomous vehicles can efficiently utilize traffic resources, alleviate traffic congestion, and reduce carbon emissions. Autonomous driving technology has developed rapidly in recent years, and autonomous driving technology is also a hot topic in recent years. Autonomous driving technology has gradually entered people's daily life, subtly changing the way people travel. Autonomous driving technology has great application prospects in both military and civilian applications. For military use, it can be used not only as an unmanned transportation platform, but also as an unmanned demolition vehicle, unmanned combat platform, unmanned patrol and surveillance vehicle, etc.; in civ...

AI Technical Summary

Problems solved by technology

[0003] Operation path planning and selection is the key to automatic driving technology, which is related to the efficiency and safety of vehicle operation. However, the existing automatic driving technology lacks the link of processing and analyzing the actual operation data of the vehicle, and cannot realize the optimization of the path, resulting in the failure of automatic driving vehicles. In the process of operation, there are disadvantages of low efficiency, large energy consumption and long operation time

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