High-speed railway train automatic driving system based on artificial intelligence technology

Abstract

The invention discloses a high-speed railway train automatic driving system based on an artificial intelligence technology. The system is a novel high-speed railway train automatic driving system based on deep reinforcement learning and imitation learning. By constructing comprehensive train operation condition evaluation indexes and supplementing and enhancing acquisition of big data related to train operation, a train control strategy model which is based on deep reinforcement learning and imitation learning and can perform comprehensive perception and make correct and reasonable decisions is trained, and the comprehensive quality of train operation is further improved.

Description

technical field [0001] The invention relates to the technical field of rail transportation, in particular to an automatic driving system for high-speed railway trains based on artificial intelligence technology. Background technique [0002] With the continuous development of society, economy, science and technology, rail transit represented by high-speed railway and subway has ushered in rapid development in recent years, playing an increasingly important role in the transportation of people and goods. The research and application of technologies emerge in endlessly, among which, the automatic driving technology of trains is one of the current research and application hotspots. [0003] At present, in the field of national railways, the domestic CTCS2+ATO train control system has been running smoothly in the Pearl River Delta intercity railway network between Dongguan and Foshan, and the CTCS3+ATO train control system will soon be tested on the Beijing-Shenyang high-speed r...

AI Technical Summary

Problems solved by technology

Excessive reliance on the protection of ground signal equipment, lack of active safety protection capabilities

[0007] 2. Failure to balance high efficiency and energy saving, or ignoring a certain aspect of demand

[0008] 3. Compared with the average level of manual driving, the ride comfort of passengers is still relatively insufficient

Compared with a series of cumbersome processes such as sign recognition, road recognition, pedestrian and vehicle recognition, and path planning in traditional automotive automatic driving systems, this solution is simple and direct, and the learning process is closer to the human driving learning process. There are quite a few companies that use this solution to carry out research and application of automotive autonomous driving technology, such as Nvidia, Comma.ai, Drive.ai, Momenta, PlusAI, etc., and most of them have achieved good initial results; however, these artificial intelligence solutions are not yet effective. Applied to train automatic driving technology

Images