An extended visual angle car-following model considering the vehicle types in the adjacent lane

2021 ◽  
Vol 566 ◽  
pp. 125665
Author(s):  
Nan Jiang ◽  
Bin Yu ◽  
Feng Cao ◽  
Pengfei Dang ◽  
Shaohua Cui
Keyword(s):  
Visual Angle ◽  
Car Following ◽  
Car Following Model

Non-lane-discipline-based car-following model considering the effect of visual angle

2016 ◽  
Vol 85 (3) ◽  
pp. 1901-1912 ◽  
Author(s):  
Yongfu Li ◽  
Li Zhang ◽  
Bo Zhang ◽  
Taixiong Zheng ◽  
Huizong Feng ◽  
...  
Keyword(s):  
Visual Angle ◽  
Car Following ◽  
Car Following Model

scholarly journals An Extended Car-Following Model Based on Visual Angle and Electronic Throttle Effect

Mathematics ◽  
2021 ◽  
Vol 9 (22) ◽  
pp. 2879
Author(s):  
Hongxia Ge ◽  
Siteng Li ◽  
Chunyue Yan
Keyword(s):  
Visual Angle ◽  
Mkdv Equation ◽  
Ginzburg Landau ◽  
Electronic Throttle ◽  
Precise Control ◽  
Car Following ◽  
Preceding Vehicle ◽  
Car Following Model ◽  
The Stability ◽  
Parts Manufacturing

With the continuous advancement of electronic technology, auto parts manufacturing institutions are gradually applying electronic throttles to automobiles for precise control. Based on the visual angle model (VAM), a car-following model considering the electronic throttle angle of the preceding vehicle is proposed. The stability conditions are obtained through linear stability analysis. By means of nonlinear analysis, the time-dependent Ginzburg–Landau (TDGL) equation is derived first, and then the modified Korteweg-de-Vries (mKdV) equation is derived. The relationship between the two is thus obtained. Finally, in the process of numerical simulations and exploration, it is shown how the visual angle and electronic throttle affect the stability of traffic flow. The simulation results in MATLAB software verify the validity of the model, indicating that the visual angle and electronic throttle can improve traffic stability.

A new car following model from the perspective of visual imaging

2015 ◽  
Vol 26 (08) ◽  
pp. 1550090 ◽  
Author(s):  
Liang Zheng ◽  
Zhengbing He
Keyword(s):  
Traffic Flow ◽  
Visual Angle ◽  
Apparent Size ◽  
Stable Region ◽  
Trajectory Data ◽  
Perception Threshold ◽  
Car Following ◽  
Car Following Model ◽  
Visual Imaging ◽  
Weber Ratio

The paper proposes a car following model from the perspective of visual imaging (VIM), where the visual imaging size of the preceding vehicle on a driver's retina is considered as the stimuli and determines the driving behaviors. NGSIM trajectory data are applied to calibrate and validate the VIM under two scenarios, i.e. following the car and following the truck, whose fitting performance outperforms that of visual angle car following model (VAM). Through linear stability analyses for VIM, it can be drawn that the asymmetry in traffic flow is preserved; the larger vehicle width, vehicle length and vehicle apparent size all benefit enlarging the traffic flow stable region; the traffic flow unstable region when following the car tends to fall in the relatively small distance headway range compared with that when following the truck. After that, numerical experiments demonstrate that the visual imaging information applied in VIM is more contributive to the traffic flow stability than the visual angle information in VAM when following the truck in the relatively large distance headway or involving the driver's perception threshold, i.e. Weber ratio; introducing Weber ratio would break the originally stable traffic flow or deteriorate the traffic fluctuation, which however can be alleviated by increasing drivers' sensitivity, e.g., decreasing Weber ratio. Finally, VIM is verified to be able to satisfy the consistency criteria well from the theoretical aspect.

An extended car-following model based on visual angle and backward looking effect

2017 ◽  
Vol 55 (5) ◽  
pp. 2092-2099 ◽  
Author(s):  
Pei-guo Hou ◽  
Han-wei Yu ◽  
Chen Yan ◽  
Jia-yang Hong
Keyword(s):  
Visual Angle ◽  
Car Following ◽  
Model Based ◽  
Car Following Model

scholarly journals String Stability and Platoon Safety Analysis of a New Car-following Model Considering a Stabilization Strategy

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Mingfei Mu ◽  
Junjie Zhang ◽  
Changmiao Wang ◽  
Jun Zhang ◽  
Can Yang
Keyword(s):  
Safety Analysis ◽  
String Stability ◽  
Car Following ◽  
Car Following Model
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