A car-following model considering the effect of electronic throttle opening angle over the curved road

2019 ◽  
Vol 534 ◽  
pp. 122377
Author(s):  
Yuqing Sun ◽  
Hongxia Ge ◽  
Rongjun Cheng
2016 ◽  
Vol 85 (4) ◽  
pp. 2115-2125 ◽  
Author(s):  
Yongfu Li ◽  
Li Zhang ◽  
Srinivas Peeta ◽  
Xiaozheng He ◽  
Taixiong Zheng ◽  
...  

2017 ◽  
Vol 90 (4) ◽  
pp. 2345-2358 ◽  
Author(s):  
Yongfu Li ◽  
Hang Zhao ◽  
Taixiong Zheng ◽  
Fenglan Sun ◽  
Huizong Feng

2017 ◽  
Vol 381 (27) ◽  
pp. 2137-2143 ◽  
Author(s):  
Yi-Ming Zheng ◽  
Rong-Jun Cheng ◽  
Hong-Xia Ge

2020 ◽  
Vol 2020 ◽  
pp. 1-22
Author(s):  
Yulei Jiao ◽  
Rongjun Cheng ◽  
Hongxia Ge

In order to explore the potential impact of sloping road on traffic flow, an improved car-following model considering electronic throttle (ET) dynamics and driver’s driving characteristics on slope is proposed. Based on the improved car-following model, a new continuum model is established through the conversion relationship between microscopic variables and macroscopic variables. Firstly, the stability condition of the model is obtained by using the linear stability theory, after that the evolution process of traffic flow density wave near the neutral stability curve is studied by using the nonlinear analysis method, and we also get the improved KdV-Burgers equation. At the same time, numerical experiments and experimental verification of the model are carried out; the theoretical analysis and numerical results show that the ET effect and aggressive driving of drivers play an important role in alleviating traffic congestion to a certain extent.


Mathematics ◽  
2021 ◽  
Vol 9 (22) ◽  
pp. 2879
Author(s):  
Hongxia Ge ◽  
Siteng Li ◽  
Chunyue Yan

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.


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