PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks | |
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
![]() |
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 |
DOI | 10.1109/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. |
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关键词 | SIGNAL CONTROL ; SYSTEM ; LIGHTS |
WOS研究方向 | Engineering ; Transportation |
语种 | 英语 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
WOS记录号 | WOS:000732890200001 |
资助机构 | National Key Research and Development Program of China ; Zhejiang Natural Science Foundation ; Natural Science Foundation of China (NSFC) |
内容类型 | 期刊论文 |
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. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论