大数据环境下的车路人协同控制模型VID

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.

References

[1]邱恭安,包志华,章国安,等.高稳定被动群集车联网连通性研究[J].通信学报,2016,37(11):42-48.
[2]李静林,刘志晗,杨放春.车联网体系结构及其关键技术[J].北京邮电大学学报,2014,37(6):95-100.
[3]HULL B,BYCHKOVSKY V,ZHANG Y,et al.CarTel:A Distributed Mobile Sensor Computing System[C]∥Proceedings of the 4th International Conference on Embedded Networked Sensor Systems.Boulder,Colorado:USA,2006:125-138.
[4]ZHU Y,LIU X,WANG Y.Pervasive Urban Sensing withLarge-Scale Mobile Probe Vehicles [J].International Journal of Distributed Sensor Networks,2013:7-13.
[5]REZAEI F,NAIK K,NAYAK A,et al.Effective Warning Data Dissemination Scheme in Vehicular Networks for Intelligent Transportation System Applications[C]∥2013 16th International IEEE Conference on Intelligent Transportation Systems-(ITSC),2013:1071-1076.
[6]YUAN Q,LIU Z,LI J,et al.A Traffic Congestion Detection and Information Dissemination Scheme for Urban Expressways Using Vehicular Networks [J].Transportation Research Part C:Emerging Technologies,2014,47(P2):114-127.
[7]蔡志理,孙丰瑞,韦凌翔,等.基于车联网技术的车路协同系统设计[J].山东交通学院学报,2011,19(4):18-23.
[8]CHEN L W.Cooperative traffic control with green wave coordination for multiple intersection based on the internet of vehicles [J].Transactions on Systems Man & Cybemetics Systems,2016(99):1-15.
[9]LIU X.The research of the network secutity management and technology of internet of vehicles [J].Telecommunications Metwork Technology,2018,42(4):21-29.
[10]南文倩,郭斌,陈荟慧,等.基于跨空间多元交互的群智感知动态激励模型[J].计算机学报,2015,38(12):2412-2425.
[11]刘媛妮,李慧聪,关鑫,等.移动群智感知激励机制研究综述[J].重庆邮电大学学报(自然科学版),2018,3092:147-158.
[12]李静林,袁泉,杨放春.车联网群智感知与服务[J].中兴通讯技术,2015,21(6):6-9.
[13]孙垚.基于博弈论的群智感知计算中的参与结点决策研究[D].上海:上海交通大学,2015.
[14]段宗涛,康军,唐蕾.车联网大数据环境下的交通信息服务协同体系[J].长安大学学报(自然科学版),2014,34(2):108-115.

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

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