PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks
Jin, Junchen1,2,3; Rong, Dingding1; Pang, Yuqi1; Zhu, Fenghua3; Guo, Haifeng1,4; Ma, Xiaoliang2; Wang, Fei-Yue3
Source PublicationIEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
ISSN1524-9050
2021-04-02
Volume23Issue:7Pages:11
Corresponding AuthorGuo, Haifeng(guohf@zjut.edu.cn)
AbstractThis 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.
KeywordEngines 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
DOI10.1109/TITS.2021.3068874
WOS KeywordSIGNAL CONTROL ; SYSTEM ; LIGHTS
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational Key Research and Development Program of China ; Zhejiang Natural Science Foundation ; Natural Science Foundation of China (NSFC)
WOS Research AreaEngineering ; Transportation
WOS SubjectEngineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS IDWOS:000732890200001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Sub direction classification人工智能+交通
Citation statistics
Cited Times:10[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/46981
Collection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
Corresponding AuthorGuo, Haifeng
Affiliation1.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
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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.
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