基于边缘智能的车辆编队协同控制方法研究

doi:10.11896/jsjkx.231000126

Computer Science ›› 2024, Vol. 51 ›› Issue (6): 384-390.doi: 10.11896/jsjkx.231000126

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Study on Collaborative Control Method of Vehicle Platooning Based on Edge Intelligence

LI Le¹, LIU Meifang¹, CHEN Rong¹, WEI Siyu²

1 Qingdao Hisense Microunion Signal Co.,LTD.,Qingdao,Shandong 266400,China
22 School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China

Received:2023-10-18 Revised:2024-03-29 Online:2024-06-15 Published:2024-06-05
About author:LI Le,born in 1984,master,engineer.His main research interests include railway signal control system and edge computing.
CHEN Rong,born in 1988,postgra-duate,engineer.His main research interests include railway signal control system and edge intelligence.

Abstract

Abstract: With the development of communication technology and automatic control technology,the autonomous control method of intelligent and connected vehicles(ICV),especially the control method under hybrid platooning,has become an important direction of the research of unmanned driving technology.In order to reduce the delay of control strategy output due to the limitation of computing power of on-board processor,and improve vehicle tracking effect,a collaborative control method of vehicle platooning based on edge intelligence is proposed.Using the powerful computing power of edge server and 5G communication network,a control system based on edge intelligence is designed to upload computing tasks to the cloud and release the computing resources of the on-board processor.Based on the analysis of vehicle following scenario in hybrid platooning,a vehicle platooning control model in spatiotemporal coupling scenario is designed,and a vehicle dynamics model is established by using MPC control algorithm.Through model prediction,rolling optimization and feedback correction,control strategy calculation services are provi-ded for intelligent and connected vehicle.The results of MATLAB simulation experiment and edge computing virtual platform experiment show that the proposed MPC control algorithm performs well in trajectory tracking control and can provide safety control strategy for vehicles in real time and efficiently.

Key words: Edge intelligence, Vehicle platooning, Cooperative control, Intelligent and connected vehicle

CLC Number:

U491

LI Le, LIU Meifang, CHEN Rong, WEI Siyu. Study on Collaborative Control Method of Vehicle Platooning Based on Edge Intelligence[J].Computer Science, 2024, 51(6): 384-390.

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