A simulation system vehicle dynamics model speed prediction method based on LSTM

A technology for vehicle dynamics and speed prediction, used in biological neural network models, combustion engines, internal combustion piston engines, etc.

Active Publication Date: 2019-05-21
TRAFFIC CONTROL TECH CO LTD
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Problems solved by technology

In order to obtain a real-time speed change output that is closer to the actual speed change on the spot, the vehicle dynamics model based on the pre-set traditional simulation...

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  • A simulation system vehicle dynamics model speed prediction method based on LSTM
  • A simulation system vehicle dynamics model speed prediction method based on LSTM
  • A simulation system vehicle dynamics model speed prediction method based on LSTM

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Embodiment Construction

[0038] In order to make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0039] Because the existing technology is in the indoor full-function simulation test platform, in order to obtain a real-time speed change output that is closer to the actual speed change on the spot, the vehicle dynamics based on the traditional simulation system that contains empirical parameters is preset The model has its own lim...

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Abstract

The embodiment of the invention provides a simulation system vehicle dynamics model speed prediction method based on LSTM. Based on actual train operation record data collected on site, the simulationvehicle dynamics model can better simulate the actual operation effect of the on-site vehicle in the full-function simulation test platform; a vehicle speed prediction model based on a time sequenceis trained based on the data source; a field real hidden mode can be contained in the model; wherein the hidden mode refers to some performance parameters of the vehicle; the hidden mode can be used for optimizing a vehicle dynamics model, such as increasing a function of a rain and snow mode, the application of the LSTM model enables factors which are difficult to adopt originally but have an important influence on actual operation speed output to pay attention to, and characteristics such as vehicle weight, actual line curvature and full load rate can be introduced into a simulation system;The problem that a traditional model does not introduce historical data into calculation is solved.

Description

Technical field [0001] The embodiment of the present invention relates to the technical field of rail transit simulation, and more specifically, to a method and device for predicting the speed of a vehicle dynamics model of a simulation system based on LSTM. Background technique [0002] In the indoor full-function simulation test platform, the vehicle dynamics model of the simulation system mainly simulates the traction and braking characteristics of the train, and calculates the acceleration and speed of the train according to the operating characteristics and parameters of the vehicle (such as vehicle traction and braking force information). The mileage of train operation is calculated and accumulated. Since the simulation system is sensitive to changes in speed and position, the vehicle dynamics model of the simulation system needs to be able to respond in real time and output predicted speed and position information. [0003] The speed update process of the vehicle dynamics m...

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Application Information

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IPC IPC(8): G06F17/50G06N3/04
CPCY02T10/40Y02T90/00
Inventor 郜春海刘波
Owner TRAFFIC CONTROL TECH CO LTD
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