PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks

doi:10.1109/TITS.2021.3068874

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks
	Jin, Junchen 1,2,3; Rong, Dingding 1; Pang, Yuqi 1; Zhu, Fenghua3 ; Guo, Haifeng 1,4; Ma, Xiaoliang 2; Wang, Fei-Yue3
发表期刊	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
ISSN	1524-9050
	2021-04-02
卷号	23 期号:7 页码:11
通讯作者	Guo, Haifeng(guohf@zjut.edu.cn)
摘要	This paper proposes a parallel recommendation engine, PRECOM, for traffic control operations to mitigate congestion of road traffic in the metropolitan area. The recommendation engine can provide, in real-time, effective and optimal control plans to traffic engineers, who are responsible for manually calibrating traffic signal plans especially when a road network suffers from heavy congestion due to disruptive events. With the idea of incorporating expert knowledge in the operation loop, the PRECOM system is designed to include three conceptual components: an artificial system model, a computational experiment module, and a parallel execution module. Meanwhile, three essential algorithmic steps are implemented in the recommendation engine: a candidate generator based on a graph model, a spatiotemporal ranker, and a context-aware re-ranker. The PRECOM system has been deployed in the city of Hangzhou, China, through both offline and online evaluation. The experimental results are promising, and prove that the recommendation system can provide effective support to the current human-in-the-loop control scheme in the practice of traffic control, operations, and management.
关键词	Engines Control systems Urban areas Process control Roads Generators Spatiotemporal phenomena Spatial-temporal recommender system urban traffic control parallel traffic management human-in-the-loop system
DOI	10.1109/TITS.2021.3068874
关键词[WOS]	SIGNAL CONTROL ; SYSTEM ; LIGHTS
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2018YFB1004803] ; Zhejiang Natural Science Foundation[LY20E080023] ; Natural Science Foundation of China (NSFC)[U1811463] ; Natural Science Foundation of China (NSFC)[52072343]
项目资助者	National Key Research and Development Program of China ; Zhejiang Natural Science Foundation ; Natural Science Foundation of China (NSFC)
WOS研究方向	Engineering ; Transportation
WOS类目	Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号	WOS:000732890200001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类	人工智能+交通
引用统计	被引频次：10[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/46981
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Guo, Haifeng
作者单位	1.Enjoyor Co Ltd, Hangzhou 310030, Peoples R China 2.KTH Royal Inst Technol, Dept Civil & Architecture Engn, S-10044 Stockholm, Sweden 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310013, Peoples R China
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Jin, Junchen,Rong, Dingding,Pang, Yuqi,et al. PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2021,23(7):11.
APA	Jin, Junchen.,Rong, Dingding.,Pang, Yuqi.,Zhu, Fenghua.,Guo, Haifeng.,...&Wang, Fei-Yue.(2021).PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,23(7),11.
MLA	Jin, Junchen,et al."PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 23.7(2021):11.