Internet connected vehicle platoon system modeling and linear stability analysis

Zhang, Lidong; Zhang, Mengmeng; Wang, Jian; Li, Xiaowei; Wang, Zihao

doi:10.1016/j.comcom.2021.04.015

Cited by 16 publications

(5 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A dynamic route choice model for CVs can also be established to simulate the running conditions of CVs at various headway gaps, so as to analyse the stability of the platoons (Lee et al 2018). In addition, information sharing between vehicles also affects the stability of the CACC platoons, and simulation results suggest that the greater amount of shared information corresponded to improve stability (Zhang et al 2021b).…”

Section: Introductionmentioning

confidence: 99%

Stability Analysis for Heterogeneous Traffic Flow With Lane-Change Disturbance

Li,

Pu,

Chen

et al. 2024

Transport

View full text Add to dashboard Cite

Stability analysis and benefit estimation have substantial implications for lane-change decision-making to reduce delay and variation. Connected platoons drive with minor headway to increase capacity, whereas dividing or reforming platoons significantly impacts traveling efficiency. Therefore, this article focuses on the instability of the platoon caused by an en-route lane-change. Construction of platoon forming, combination rules, and car-following models for various vehicle types are presented to describe driving behaviours. Then, a velocity adjustment and a model for lane-change preparation and recovery are proposed. In addition, a group of stability recognition indexes and related stability evaluation factors are presented. Experiments involving numerical comparisons of the proposed factors are conducted to demonstrate the propagation properties of the instability and reveal the fluctuation degree. The variation duration, velocity variation range, and total delay are the primary indicators for evaluating lane-change feasibility. The models and findings can be applied effectively in practice to determine the optimal time and location for en-route lane-change and to assist with traffic management and lane selection at the entrance.

show abstract

Section: Introductionmentioning

confidence: 99%

Stability Analysis for Heterogeneous Traffic Flow With Lane-Change Disturbance

Li,

Pu,

Chen

et al. 2024

Transport

View full text Add to dashboard Cite

show abstract

“…In the context of connected autonomous vehicle (CAV) platoon-based networked cruise control, CAV platooning has become an important means to improve traffic flow quality and reduce vehicle energy consumption and emissions due to its ability to achieve real-time information exchange and perception of the traffic situation in the connected environment. Numerous studies have been conducted by scholars worldwide to improve the stability of CAV vehicle platooning, resulting in a wide range of models [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. These models are all derived from two core underlying models: the optimal velocity (OV) model [17] and the full velocity difference (FVD) model [18].…”

Section: Introductionmentioning

confidence: 99%

“…A car-following model was proposed by Tang et al [13] in their study, which examined the dynamic interactions between vehicles in a real-time information sharing environment, under the inter-vehicle communication (IVC) system. A novel platoon car-following model, which integrates the weighted relative speed difference function and the optimal speed difference function for a full platoon to more accurately simulate vehicle behavior in traffic flow, was proposed by Zhang et al [14] in a related study. Hossain et al [15] proposed an information-sharing traffic flow model by considering multiple preceding cars and the system time delay effect.…”

Section: Introductionmentioning

confidence: 99%

Study on the Emission of Connected Autonomous Vehicle Considering the Control of Electronic Throttle Opening

Kang,

Tian

2024

WEVJ

View full text Add to dashboard Cite

Aiming at the networked cruise control scenario of CAV (connected autonomous vehicle) queue, we propose a new networked cruise control strategy for CAV by introducing the average information of ET (electronic throttle) opening of the downstream vehicle group as a feedback signal. By performing linear stability analysis on the new model, we derive its linear stability conditions. Further, we design exhaustive numerical simulation experiments aiming to systematically investigate the effect of the multi-vehicle ahead electronic throttle opening average feedback signal on CAV traffic stability, fuel consumption, and key emission factors, such as CO, HC, and NOx, during the cruise control process. The results show that the feedback signal can not only significantly improve the operational stability of the CAV traffic flow but also significantly improve its fuel consumption and the emission levels of CO, HC, and NOx. When the number of CAV vehicles in the feedback signal is set to three, the levels of CO, HC, and NOx emissions as well as fuel consumption in the road system can reach a stable and optimized state.

show abstract

“…Tang et al 30 proposed a car-following model under the inter-vehicle communication (IVC) system. Zhang et al 31 presented a CV (Internet-Connected Vehicle) platoon car-following model that has a synthesized optimal velocity differential function and a full platoon with a weighted relative velocity difference function. Zhu et al 32 investigated the mixed traffic flow with human-driving and autonomous cars based on the car-following model.…”

Section: Introductionmentioning

confidence: 99%

Vehicle-to-vehicle cooperative driving model considering end-to-end delay of communication network

Kang,

Chen,

Tian

2023

Sci Rep

View full text Add to dashboard Cite

To explore the mechanism of the end-to-end transmission delay of the communication network on the collaborative driving process for traffic flow in the vehicle-to-vehicle communication environment, based on the idea of the car-following model, this paper introduces characteristic parameters characterizing the end-to-end transmission delay of the network into Newell's following model and proposes a CD and OV model by considering the time delay characteristics of the collaborative driving process from information transmission to control decision and then to physical execution. To determine the cooperative driving system's stability criterion, the stability analysis of the new model is examined. By using the reductive perturbation approach, the spatiotemporal evolution mechanism of the traffic flow around the critical stability point under the influence of various transmission delays is analyzed. The resulting modified Korteweg-de Vries (mKdV) equations and density wave solutions are derived. The results show that the end-to-end transmission delay of the network has a significant shock effect on the stability of the vehicle-vehicle cooperative driving system, and the stability of the traffic flow and the ability to suppress traffic congestion becomes worse with the increase in the end-to-end transmission delay.

show abstract

Internet connected vehicle platoon system modeling and linear stability analysis

Cited by 16 publications

References 24 publications

Stability Analysis for Heterogeneous Traffic Flow With Lane-Change Disturbance

Stability Analysis for Heterogeneous Traffic Flow With Lane-Change Disturbance

Study on the Emission of Connected Autonomous Vehicle Considering the Control of Electronic Throttle Opening

Vehicle-to-vehicle cooperative driving model considering end-to-end delay of communication network

Contact Info

Product

Resources

About