In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) has been redirecting to new domain since Jan. 1st, 2025.
See More
System Development & Application
|
App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 5
1468-1471

Incremental real-time traffic flow prediction algorithm based on domestic processor and its implementation

Ji Yimu1a,1b,2,3,4
Yang Qifan1a,1b
Li Kui1a,1b
You Shuai1a,1b
Shao Sisi1a,1b
Liu Qiang1a,1b,2,3,4
Liu Shangdong1a,1b,2,3,4
1. a. School of Computer Science, b. Institute of High Performance Computing & Bigdata, Nanjing University of Posts & Telecommunications, Nanjing 210023, China
2. Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210023, China
3. Nanjing Center of HPC China, Nanjing 210023, China
4. Jiangsu HPC & Intelligent Processing Engineer Research Center, Nanjing 210023, China
DOI: 10.19734/j.issn.1001-3695.2020.05.0199

Abstract

It is difficult to deal with a large number of data in urban traffic, and the real-time performance is poor. Based on the incremental urban traffic flow data, this paper proposed a L-BFGS algorithm based on the domestic processor. In this algorithm, it calculated Hessian matrix by storing vector sequence, and improved Two-Loop algorithm to find the descent direction. In parallel processing of Spark cluster, the convergence speed was fast, and it was suitable for urban traffic scenes with strong real-time requirements. The experimental results show that the L-BFGS prediction algorithm can model and predict large-scale real-time traffic data flow on the domestic platform, which not only provides effective support to improve the level of urban traffic management, but also enriches the application field of domestic chips.

Foundation Support

国家重点研发计划专项项目(2017YFB1401302)
国家自然科学基金资助项目(61702280,61902194)
江苏省自然科学基金优秀青年基金资助项目(BK20170100)
江苏省重点研发计划资助项目(BE2017166)
江苏省自然科学基金资助项目(BK20170900)
江苏省六大人才高峰项目(JY02)
江苏省教育厅高等学校自然科学研究项目(19KJB520046)
博士后创新人才支持计划资助项目(BX20180146)
中国博士后科学基金资助项目(2019M661901)
江苏省博士后科研资助计划资助项目(2019K024)
CCF—腾讯犀牛鸟基金微众银行专项资助项目(CCF-WebankRAGR20190104)
南京邮电大学鼎山人才培养对象项目和南京邮电大学人才启动基金资助项目(NY219132)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.05.0199
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 5
Section: System Development & Application
Pages: 1468-1471
Serial Number: 1001-3695(2021)05-034-1468-04

Publish History

[2021-05-05] Printed Article

Cite This Article

季一木, 杨启凡, 李奎, 等. 基于国产处理器增量式实时交通流预测算法及实现 [J]. 计算机应用研究, 2021, 38 (5): 1468-1471. (Ji Yimu, Yang Qifan, Li Kui, et al. Incremental real-time traffic flow prediction algorithm based on domestic processor and its implementation [J]. Application Research of Computers, 2021, 38 (5): 1468-1471. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)