Human–machine cooperative scheme for car-following control of the connected and automated vehicles

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

Author(s):  
Victor L. Knoop ◽  
Meng Wang ◽  
Isabel Wilmink ◽  
D. Marika Hoedemaeker ◽  
Mark Maaskant ◽  
...  

An increasing amount of vehicles are equipped with driver assistance systems; many of the vehicles currently on the market can be optionally equipped with adaptive cruise control and lane centering systems. Using both systems at the same time brings the vehicle to SAE level-2 automation . This means a driver does not need to perform longitudinal and lateral operational driving, although the driver should be ready to intervene at any time. While this can provide comfort, the interaction between vehicles operated by these systems might cause some undesired effects. This becomes particularly relevant with increasing market penetration rates. This paper describes an experiment with seven SAE level-2 vehicles driven as a platoon on public roads for a trip of almost 500 km. The paper discusses how the experiment was organized and the equipment of the vehicles. It also discusses the interaction of the platoon in traffic, as well as, in basic terms, the interaction between the automated vehicles. The experiences can be useful for other studies setting up field tests. The conclusion from this platoon test is: intentionally creating platoons on public roads is difficult in busy traffic conditions. Moreover, interactions between the vehicles in the platoon show that the current SAE level-2 systems are not suitable for driving as platoons of more than typically three to four vehicles, because of instabilities in the car-following behavior.


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