Car-following model of connected and autonomous vehicles considering both average headway and electronic throttle angle

Chen, Liang; Zhang, Yun; Li, Kun; Li, Qiaoru; Zheng, Qiang

doi:10.1142/s0217984921502572

Cited by 18 publications

(4 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Later several researchers developed the FVD model considering V2V communication to replicate car following the dynamics of CAV under different traffic scenarios [39][40][41][42][43]. Unfortunately, most of these models are developed to capture car following dynamics of AVs using only the vehicle's trajectory information.…”

Section: Car-following Modelsmentioning

confidence: 99%

A viscous continuum traffic flow model based on the cooperative car‐following behaviour of connected and autonomous vehicles

Jafaripournimchahi

Cai

Wang

et al. 2022

IET Intelligent Trans Sys

View full text Add to dashboard Cite

Connected and Autonomous Vehicles (CAVs) can receive various information from surrounding vehicles through Vehicle‐to‐Everything (V2X) communication technologies and adjust their car‐following behaviour accordingly. Although several studies have evaluated the impact of CAVs on traffic flow stability in a small segment of networks, most approaches are focused on their specific applications considering the trajectory information, and there is a lack of studies analyzing the impact of CAVs on a large‐scale network. This paper proposes a novel viscous continuum traffic model considering the anticipation of space headway, the throttle angle, and brake torque information during cooperative car‐following. The methods employed to develop the new car‐following model and its counterpart continuum traffic model have been described. The linear and non‐linear stability analyses of the newly developed model have been conducted to obtain the critical stability factors in small perturbations. Numerical simulations have been carried out to investigate the effect of the anticipation, the throttle angle, and brake torque information on traffic stability, fuel consumption, and exhaust emissions. The numerical results reveal that the anticipation of space headway and the transmission of the throttle angle and brake torque information during cooperative car‐following manoeuvres can improve the traffic flow stability and reduce fuel consumption and emissions.

show abstract

Section: Car-following Modelsmentioning

confidence: 99%

A viscous continuum traffic flow model based on the cooperative car‐following behaviour of connected and autonomous vehicles

Jafaripournimchahi

Cai

Wang

et al. 2022

IET Intelligent Trans Sys

View full text Add to dashboard Cite

show abstract

“…Jiao et al [27] investigated the effects of drivers' traits on car-following behavior in a V2V communication environment and put forth an expanded car-following model that can enhance vehicle mobility, safety, fuel efficiency, and emissions in various traffic situations. Chen et al [28] suggested an enhanced car-following model for connected cars that took into consideration the differences in electronic throttle angle and average headway. In order to construct extended models that take into account the effect of average speed and mean expected velocity on the car-following behavior, Sun et al [29] and Zhu and Zhang [30], respectively, used V2V communication technology to acquire the speed and position information of numerous cars.…”

Section: Introductionmentioning

confidence: 99%

Improved Car-Following Model for Connected Vehicles on Curved Multi-Lane Road

Han,

Ma,

Liang

et al. 2024

WEVJ

View full text Add to dashboard Cite

Under the development of intelligent network technology, drivers can obtain the surrounding traffic situation in real time, which is conducive to improving the stability of traffic flow. Therefore, this paper proposes a new curve-car-following model considering multi-vehicle information of adjacent lanes in connected environment, and conducts linear and nonlinear stability analyses of the model to demonstrate the effectiveness of the proposed model and its ability to improve the stability of traffic system; in addition, numerical simulation experiments of traffic flow convoys are designed to analyze the effects of different parameters in the proposed model on the stability of the traffic flow and test the proposed model’s ability to maintain the following behavior in a convoy. Furthermore, numerical simulation experiments are designed to analyze the effects of different parameters in the proposed model on the stability of traffic flow, and to test the ability of the proposed model to maintain the following behavior in the convoy. The model can provide theoretical guidance to alleviate traffic congestion and improve safety, and extend the application of the following model in curved multi-lane road scenarios.

show abstract

“…These characteristics make it possible to significantly improve traffic conditions and reduce energy consumption. [3][4][5][6][7][8] Ideal vehicle-to-vehicle (V2V) communication is the basis for ensuring the advantages of CAV platoons in all aspects. However, communication is generally established with dedicated short-range communication (DSRC).…”

Section: Introductionmentioning

confidence: 99%

Stability of connected and automated vehicles platoon considering communications failures

Liu

Cui

2023

Chinese Phys. B

View full text Add to dashboard Cite

As a form of future traffic system, connected and automated vehicles (CAVs) platoon is a typical nonlinear physical system. The CAVs can communicate with each other and exchange information. However, there is a possibility of communication failure. This failure results in the change of the platoon system status. To characterize this change, this paper proposes a dynamic topology-based car-following model and its generalized form. Then, stability analysis method is explored. Finally, taking the dynamic cooperative intelligent driver model (DC-IDM) as an example, the results of a series of numerical simulations conducted to analyze platoon stability for different communications topology scenarios are presented. The results show that communication failure leads to reduced stability, but information from more vehicles ahead and setting a larger desired time headway help to improve it. Moreover, this paper studies the critical ratio of communication failures required to ensure stability for different driving parameters.

show abstract

Car-following model of connected and autonomous vehicles considering both average headway and electronic throttle angle

Cited by 18 publications

References 39 publications

A viscous continuum traffic flow model based on the cooperative car‐following behaviour of connected and autonomous vehicles

A viscous continuum traffic flow model based on the cooperative car‐following behaviour of connected and autonomous vehicles

Improved Car-Following Model for Connected Vehicles on Curved Multi-Lane Road

Stability of connected and automated vehicles platoon considering communications failures

Contact Info

Product

Resources

About