Impacts of Information Flow Topology on Traffic Dynamics of CAV-MV Heterogeneous Flow

Ruan, Tiancheng; Wang, Hao; Zhou, Linjie; Zhang, Yantang; Dong, Changyin; Zuo, Zewen

doi:10.1109/tits.2022.3170965

Cited by 29 publications

(8 citation statements)

References 51 publications

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“…To further the analysis, this study employs a sine-form disturbance, a waveform commonly favored in stability studies. Sine-form disturbances are known for their capability to effectively capture the oscillatory behavior in traffic flows, allowing for a comprehensive evaluation of a system's resilience against disturbance [37,38]. In this study, the sine-form disturbance is given in a general form as…”

Section: Collision Risk String Stability Analysismentioning

confidence: 99%

On the Local and String Stability Analysis of Traffic Collision Risk

Dong,

Zhou,

Zhuo

et al. 2024

Applied Sciences

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Conventional traffic stability studies primarily concentrate on the evolution of disturbances in vehicle motion but seldom consider how collision risk changes spatially and temporally. This study bridges the gap by extending the principles of traffic stability analysis to the field of traffic safety, focusing specifically on the temporal and spatial dynamics of collision risk. Leveraging the concepts of local and string stability, we formulate conditions under which collision risk behaves in a stable manner over time and space through the transfer function approach. A comparative analysis between conventional traffic stability and the newly introduced concept of collision risk stability reveals that while conditions for local stability are largely aligned in both domains, the criteria for string stability differ. These theoretical insights are substantiated through microscopic simulations using a variety of car-following models. The simulations also indicate that the consistency between theoretical and simulation outcomes diminishes as the disturbance magnitude increases, which is attributed to the linearization errors inherent in applying the transfer function in the theoretical derivations.

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Section: Collision Risk String Stability Analysismentioning

confidence: 99%

On the Local and String Stability Analysis of Traffic Collision Risk

Dong,

Zhou,

Zhuo

et al. 2024

Applied Sciences

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“…[32] Platoon stability research has focused on mixed platoons, including human-driven vehicles (HVs), AVs, and CAVs. [36][37][38] The analyses in such studies are almost always based on a certain communication topology. However, communication failures occurring in a platoon change the communication topology.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The frequency domain approach is a simple and effective method of analyzing the platoon stability that has been widely used in previous studies. [37,38,[50][51][52][53] Let sn (t) = U e inθ +λt , and ṽn (t) = Y e inθ +λt , where U and Y are complex constants (independent of n and t) that represent the magnitude of the perturbation, θ is a discrete wavenumber in a range of 0 < θ ≤ π, and λ is the growth rate in terms of the wavenumber θ , which determines whether the traffic flow is stable when a perturbation occurs. Because ṽn − ṽn−1 = − ṡn , equation ( 16) can be obtained to be…”

Section: Stability Analysis 41 Definition Of Platoon Stabilitymentioning

confidence: 99%

Stability of connected and automated vehicles platoon considering communications failures

Liu

Cui

2023

Chinese Phys. B

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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.

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“…e representative IFTs with multi-anticipations include two predecessors following (TPF), two predecessorleader following (TPLF), and multiple predecessor-leader following (MPLF) [29]. Ruan et al [30] constructed the stability criteria for CAV-HDV mixed flow with multiple IFTs and proved that multi-anticipations could efficiently improve linear stability.…”

Section: Cavs/drivers' Propertiesmentioning

confidence: 99%

Stability Analysis of Heterogeneous Traffic Flow with Connected and Automated Vehicles: Joint Consideration of Communication Failures and Driver Takeover

Hua

Wang

2022

Journal of Advanced Transportation

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As a primary stage of connected and automated vehicles (CAVs), the cooperative adaptive cruise control (CACC) system takes some outstanding advantages such as accurate perception and timely reaction, which benefit from vehicular communication, over human-driven vehicles (HDVs). However, these advantages will turn into stability risks in case of communication failures caused by malicious attacks. Thus, this study aims at analyzing the stability of heterogeneous traffic flow with communication failures. We model two types of communication failures: bogus messages and transmission delay, and introduce drivers’ takeovers to react to communication failures. As a result, heterogeneous traffic flow consists of normal CACC vehicles, CACC vehicles with communication failures, and HDVs. Then, a series of numerical analyses, including startup and braking analysis, incidents analysis, and density wave, are proposed to verify the theoretical models and demonstrate their major properties. Besides, a discussion on traffic capacity is presented to analyze the overall impact of communication failures on traffic flow characteristics. The findings can help to investigate the stability evolution of heterogeneous traffic flow and determine the appropriate traffic flow configuration under communication failures.

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Impacts of Information Flow Topology on Traffic Dynamics of CAV-MV Heterogeneous Flow

Cited by 29 publications

References 51 publications

On the Local and String Stability Analysis of Traffic Collision Risk

On the Local and String Stability Analysis of Traffic Collision Risk

Stability of connected and automated vehicles platoon considering communications failures

Stability Analysis of Heterogeneous Traffic Flow with Connected and Automated Vehicles: Joint Consideration of Communication Failures and Driver Takeover

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