摘要
近年来,智能便携设备和移动互联网的迅速发展促使网络空间中积累了海量的数据信息,从而影响了众多领域的研究与发展.本文针对在以社会信号为主的数据对交通领域的影响下产生的跨学科领域−社会交通,从数据及相应技术方法和研究应用方面对物理和网络空间信息的感知、挖掘、分析与利用的研究成果进行综述,并分析、总结与展望该领域的未来研究趋势.
In recent years,the rapid development of smart portable devices and mobile Internet has led to the accumulation of massive data information in cyberspace,and has affected research and development in many fields.This paper focuses on an emerging interdisciplinary research field named social transportation,which derived from transportation under the impact of data based mainly on social signals.The perception,mining,analysis and utilization upon information of physical and cyber space in related work are introduced according to data,corresponding technical methods,and research applications.The research trends of social transportation is also analyzed and summarized.
作者
陈虹宇
艾红
王晓
吕宜生
陈圆圆
王飞跃
CHEN Hong-Yu;AI Hong;WANG Xiao;LV Yi-Sheng;CHEN Yuan-Yuan;WANG Fei-Yue(School of Automation,Harbin University of Science and Technology,Harbin 150080;State Key Laboratory of Man-agement and Control for Complex Systems,Institute of Automa-tion,Chinese Academy of Sciences,Beijing 100190;Qingdao Academy of Intelligent Industries,Qingdao 266109)
出处
《自动化学报》
EI
CAS
CSCD
北大核心
2021年第6期1256-1272,共17页
Acta Automatica Sinica
基金
国家自然科学基金青年项目(61702519)
中国科协青年人才托举工程(2017QNRC001)
北京市自然科学基金项目(8172018)资助。
关键词
社会交通
智能交通系统
平行系统
ACP
理论
跨媒体数据
Social transportation
intelligent transportation system
parallel system
ACP theory
cross-media data
