Algorithm Research & Explore
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2354-2357,2380

Combination low-speed car-following model based on IDM and RBFNN

Luo Ying
Qin Wenhu
School of Instrument Science & Engineering, Southeast University, Nanjing 210096, China

Abstract

So far, there are only a few researches focused on the low-speed car-following model. This paper proposed a combined low-speed car-following model based on intelligent driver model(IDM) and radial basis function neural network(RBFNN). This model combined the theory-driven car-following model and the data-driven car-following model by optimal weighting. The first step of the research was processing the public dataset named NGSIM in order to obtain the low-speed car-following data, and then respectively establishing the low-speed car-following model based on IDM and RBFNN. The former focused on ensuring safety and comfort, while the latter could output the prediction results closer to the actual values. Finally, the optimal combination weights of the IDM-RBFNN combined model were calculated by the improved optimal weighted objective function and then evaluating the model by MARE. The comparation analysis shows that the IDM-RBFNN combined model is better than the single model.

Foundation Support

中央高校基本科研业务费专项基金资助项目(2242019K30043)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.03.0052
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 8
Section: Algorithm Research & Explore
Pages: 2354-2357,2380
Serial Number: 1001-3695(2020)08-023-2354-04

Publish History

[2020-08-05] Printed Article

Cite This Article

罗颖, 秦文虎. 基于IDM与RBFNN的组合型车辆低速跟驰模型 [J]. 计算机应用研究, 2020, 37 (8): 2354-2357,2380. (Luo Ying, Qin Wenhu. Combination low-speed car-following model based on IDM and RBFNN [J]. Application Research of Computers, 2020, 37 (8): 2354-2357,2380. )

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.

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