Driver’s Anticipation and Memory Driving Car-Following Model
Joint Authors
Jafaripournimchahi, Ammar
Sun, Lu
Hu, Wusheng
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-07
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
We developed a new car-following model to investigate the effects of driver anticipation and driver memory on traffic flow.
The changes of headway, relative velocity, and driver memory to the vehicle in front are introduced as factors of driver’s anticipation behavior.
Linear and nonlinear stability analyses are both applied to study the linear and nonlinear stability conditions of the new model.
Through nonlinear analysis a modified Korteweg-de Vries (mKdV) equation was constructed to describe traffic flow near the traffic near the critical point.
Numerical simulation shows that the stability of traffic flow can be effectively enhanced by the effect of driver anticipation and memory.
The starting and breaking process of vehicles passing through the signalized intersection considering anticipation and driver memory are presented.
All results demonstrate that the AMD model exhibit a greater stability as compared to existing car-following models.
American Psychological Association (APA)
Jafaripournimchahi, Ammar& Sun, Lu& Hu, Wusheng. 2020. Driver’s Anticipation and Memory Driving Car-Following Model. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1175632
Modern Language Association (MLA)
Jafaripournimchahi, Ammar…[et al.]. Driver’s Anticipation and Memory Driving Car-Following Model. Journal of Advanced Transportation No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1175632
American Medical Association (AMA)
Jafaripournimchahi, Ammar& Sun, Lu& Hu, Wusheng. Driver’s Anticipation and Memory Driving Car-Following Model. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1175632
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175632