Research on Network Traffic Controller Based on Edge Computing
In this paper, a networked traffic controller based on edge computing is designed. The controller has the powerful abilities of computing, network communication, data storage, and application service, which can meet the critical needs of traffic control systems in agile connections, real-time communications, and data optimization at the edge of the network near the data source. A traditional traffic infrastructure is designed as an intelligent IP node that integrates the ability of control, drive, and network communication. The fireworks model is used to design system software for quick connection and efficient communication in a multi-node distributed system. The design can improve the level of coordinated optimization of regional traffic control and reduce cost and is an exploration in the aspect of edge computing and traffic control system. This paper should gain attention from the community and inspire more research in this direction.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784481523
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Supplemental Notes:
- © 2018 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Liu, Xiaoming
- Tian, Yulin
- Tang, Shaohu
- Shang, Chunlin
- Yan, Peizhou
- Wei, Lu
- Chen, Wenzhao
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Conference:
- 18th COTA International Conference of Transportation Professionals
- Location: Beijing , China
- Date: 2018-7-5 to 2018-7-8
- Publication Date: 2018-7
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 225-234
- Monograph Title: CICTP 2018: Intelligence, Connectivity, and Mobility
Subject/Index Terms
- TRT Terms: Automatic controllers; Information technology; Optimization; System design; Traffic control
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01870401
- Record Type: Publication
- ISBN: 9780784481523
- Files: TRIS, ASCE
- Created Date: Jan 23 2023 12:22PM