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

文献类型：期刊论文

作者Jin, Junchen2,3,4; Rong, Dingding4; Pang, Yuqi4; Zhu, Fenghua2; Guo, Haifeng1,4; Ma, Xiaoliang3; Wang, Fei-Yue2
刊名IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
出版日期2021-04-02
页码11
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
ISSN号1524-9050
DOI10.1109/TITS.2021.3068874
通讯作者Guo, Haifeng(guohf@zjut.edu.cn)
英文摘要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.
WOS关键词SIGNAL CONTROL ; SYSTEM ; LIGHTS
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]
WOS研究方向Engineering ; Transportation
语种英语
WOS记录号WOS:000732890200001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Key Research and Development Program of China ; Zhejiang Natural Science Foundation ; Natural Science Foundation of China (NSFC)
源URL[http://ir.ia.ac.cn/handle/173211/46980]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Guo, Haifeng
作者单位1.Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310013, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
3.KTH Royal Inst Technol, Dept Civil & Architecture Engn, S-10044 Stockholm, Sweden
4.Enjoyor Co Ltd, Hangzhou 310030, Peoples R China
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,2021:11.
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,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 (2021):11.

入库方式： OAI收割

来源：自动化研究所

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