Digital twin intelligent parking method and system based on reinforcement learning
A reinforcement learning and twinning technology, applied in the computer field, can solve problems such as increased difficulty in construction and debugging, increased scale and complexity, and achieve the effects of reducing manual parking time costs, avoiding collisions, and realizing full-cycle management
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[0079] The Unity3D project of this system is built based on the 2018.4.17 version and released in the form of an .exe executable file. Double-click to run the packaged CarPark.exe program to start the Unity3D project. Such as Figure 8 shown. When the CarPark.exe program is started, a setting box pops up such as Figure 9 shown.
[0080] The control algorithm is written in Python language, and will use websocket to establish a connection with the Unity3D program locally, and control the movement of the virtual car through the MADDPG multi-agent reinforcement learning algorithm. Going back to the Unity3D program interface, we can see that the car has been able to automatically park in place with anti-collision under the control of the algorithm, such as Figure 10 shown. After a period of time, all three cars have found vacant parking spaces and successfully parked in the parking spaces, and no collisions occurred during the process. Figure 11shown. Moreover, the car wi...
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