VID Model of Vehicles-infrastructure-driver Collaborative Control in Big Data Environment

Abstract

Abstract: Aiming at the serious redundancy in the centralized control mode of Internet of vehicles,and the high cost implementation of mutually reinforcing inmulti-source data,this paper described the VID (Vehicles-Infrastructure-driver) model of collaborative control from the perspective of big data.The model consists of perception center and distributed task execution.The unified perception center provides public perception services and integrates perception resource management,task scheduling and data collection.Vehicles-infrastructure Cooperative System (VCS),Driver-Vehicles Cooperative System and Driver Behavior Analysis perform perceptual tasks in a decentralized way.The VID model opens up the global and local loops from perception to service,and has good applicability for scenarios requiring collaborations.

Key words: Big data, Collaborative control, Internet of vehicles, Swarm intelligence computing, Vehicles-infrastructure-driver coordination

CLC Number:

U471

CHENG Xian-yi, SHI Quan, ZHU Jian-xin, CHEN Feng-mei, DAI Ran-ran. VID Model of Vehicles-infrastructure-driver Collaborative Control in Big Data Environment[J].Computer Science, 2019, 46(11A): 185-188.

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