Long memory is important: A test study on deep-learning based car-following model-Reference-Cited by-同舟云学术

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Long memory is important: A test study on deep-learning based car-following model

Published:2019-01 Issue: Volume:514 Page:786-795
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Wang Xiao,Jiang Rui,Li Li,Lin Yi-Lun,Wang Fei-Yue

Funder

National Natural Science Foundation of China

Beijing Municipal Science and Technology Commission Program, China

Beijing Municipal Commission of Transport, China

Natural Science Foundation of Beijing Municipality, China

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference54 articles.

1. Thirty years of Gipps’ Car-following model: Applications, developments, and new features;Ciuffo;Transp. Res. Rec.,2012

2. Adaptive cruise control design for active congestion avoidance;Kesting;Transp. Res. C,2008

3. Calibrating car-following models using microscopic trajectory data;Ossen,2008

4. Steady-State solutions and multiclass calibration of gipps microscopic traffic flow model;Punzo;Transp. Res. Rec. J. Transp. Res. Board,2007

5. An adaptive time gap car-following model;Tordeux;Transp. Res. B,2010

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