Empirical study on car-following characteristics of commercial automated vehicles with different headway settings

2021 ◽  
Vol 128 ◽  
pp. 103134
Author(s):  
Xiaowei Shi ◽  
Xiaopeng Li
2021 ◽  
Vol 128 ◽  
pp. 103166
Author(s):  
Wissam Kontar ◽  
Tienan Li ◽  
Anupam Srivastava ◽  
Yang Zhou ◽  
Danjue Chen ◽  
...  

Author(s):  
Anupam Srivastava ◽  
Danjue Chen ◽  
Soyoung Ahn

This paper presents a behavioral car following model, named the chained asymmetric behavior model, that improves on the asymmetric behavior model. This model is inspired by the empirical observation that vehicles react proportionately to the magnitude of disturbance experienced when traversing through a stop-and-go oscillation, deviating from a constant following behavior observed in equilibrium conditions. Findings from simulation experiments suggest that this “second-order” effect significantly affects traffic throughput and evolution under disturbances. Knowledge obtained from the model is leveraged toward designing control for connected automated vehicles in mixed traffic streams.


2018 ◽  
Vol 19 (3) ◽  
pp. 733-744 ◽  
Author(s):  
Ding Zhao ◽  
Xianan Huang ◽  
Huei Peng ◽  
Henry Lam ◽  
David J. LeBlanc

2021 ◽  
Vol 573 ◽  
pp. 125949
Author(s):  
Jin Chen ◽  
Dihua Sun ◽  
Yang Li ◽  
Min Zhao ◽  
Weining Liu ◽  
...  

2019 ◽  
Vol 20 (6) ◽  
pp. 1991-2000 ◽  
Author(s):  
Da Yang ◽  
Liling Zhu ◽  
Yalong Liu ◽  
Danhong Wu ◽  
Bin Ran

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