A car-following model considering the effect of electronic throttle opening angle under connected environment

2016 ◽  
Vol 85 (4) ◽  
pp. 2115-2125 ◽  
Author(s):  
Yongfu Li ◽  
Li Zhang ◽  
Srinivas Peeta ◽  
Xiaozheng He ◽  
Taixiong Zheng ◽  
...  
Keyword(s):  
Opening Angle ◽  
Electronic Throttle ◽  
Car Following ◽  
Car Following Model

scholarly journals Non-lane-discipline-based car-following model incorporating the electronic throttle dynamics under connected environment

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

scholarly journals A New Continuum Model considering Driving Behaviors and Electronic Throttle Effect on a Gradient Highway

2020 ◽  
Vol 2020 ◽  
pp. 1-22
Author(s):  
Yulei Jiao ◽  
Rongjun Cheng ◽  
Hongxia Ge
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Continuum Model ◽  
Density Wave ◽  
Linear Stability Theory ◽  
Flow Density ◽  
Neutral Stability ◽  
Electronic Throttle ◽  
Car Following ◽  
Car Following Model

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.

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.

scholarly journals Car-following Model of Connected Cruise Control Vehicles to Mitigate Traffic Oscillations

2019 ◽  
Vol 31 (6) ◽  
pp. 603-610
Author(s):  
Yanyan Qin ◽  
Hao Wang ◽  
Quan Chen ◽  
Bin Ran
Keyword(s):  
Cruise Control ◽  
Difference Model ◽  
Velocity Difference ◽  
Electronic Throttle ◽  
Car Following ◽  
Time Simulation ◽  
Proposed Model ◽  
Car Following Model ◽  
Traffic Oscillations ◽  
Better Than

With the aim of mitigating traffic oscillations, this paper extends a car-following model for Connected Cruise Control (CCC) systems by considering electronic throttle angles of multiple cars ahead. The linear stability condition of the proposed model is derived and numerical simulations are performed. It has been found that the proposed model is prominently better than the previous model, i.e. full velocity difference model, from the perspective of mitigating traffic oscillations. Additionally, the proposed model can also reduce fuel consumption, emissions, i.e. CO, HC and NOX, safety risk, and improve driving comfort at the same time. Simulation results suggest that the CCC car-following control design should consider the effect of multiple electronic throttle angles from the preceding cars.

An extended car-following model integrating average speed and electronic throttle dynamics of multiple preceding vehicles

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shihao Li ◽  
Rongjun Cheng ◽  
Hongxia Ge ◽  
Pengjun Zheng
Keyword(s):  
Theoretical Analysis ◽  
Traffic Flow ◽  
Electronic Throttle ◽  
Content Type ◽  
Average Speed ◽  
The Real ◽  
Car Following ◽  
Car Following Model ◽  
The Stability ◽  
Real Traffic

Purpose The purpose of this study is to explore the influence of the electronic throttle (ET) dynamics and the average speed of multiple preceding vehicles on the stability of traffic flow. Design/methodology/approach An extended car-following model integrating the ET dynamics and the average speed of multiple preceding vehicles is presented in this paper. The novel model’s stability conditions are obtained by using the thought of control theory, and the modified Korteweg–de Vries equation is inferred in terms of the nonlinear analysis method. In addition, some simulation experiments are implemented to explore the properties of traffic flow, and the results of these experiments confirm the correctness of theoretical analysis. Findings In view of the results of theoretical analysis and numerical simulation, traffic flow will become more stable when the average speed and ET dynamics of multiple preceding vehicles are considered, and the stability of traffic flow will also be enhanced by increasing the number of preceding vehicles considered. Research limitations/implications This study leaves the factors such as the mixed traffic flow, the multilane and so on out of account in real road environment, which more or less influences the traffic flow’s stability, so the real traffic environment is not fully reflected. Originality/value There is little research integrating ET dynamics and the average velocity of multiple preceding vehicles to study the properties of traffic flow. The enhanced model constructed in this study can better reflect the real traffic, which can also give some theoretical reference for the development of connected and autonomous vehicles.

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