Stability of heterogeneous traffic considering impacts of platoon management with multiple time delays

Ruan, Tiancheng; Zhou, Linjie; Wang, Hao

doi:10.1016/j.physa.2021.126294

Cited by 34 publications

(16 citation statements)

References 19 publications

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“…Related research aims at evaluating the beneficial effects of CAVs on traffic stability and discussing the influence of traffic flow characteristics; for example, Yao et al [19] presented that the unstable interval gradually decreases with the increase in the MPR of CAVs and the mixed flow always keeps stable when the MPR of CAVs is greater than 47%. e similar conclusion can also be found in the research of Chang et al [23]. Furthermore, existing research realized that the information interaction would be interrupted between CAVs and HDVs, especially for the PF topology, and introduced vehicle degradation.…”

Section: Traffic Operationsupporting

confidence: 80%

“…Jin and Orosz [22] designed an optimal control for connected vehicle systems with communication delay based on the linear quadratic regulation. Ruan et al [23] jointly considered platoon organization and multiple time delays in the stability analysis of heterogeneous traffic flow. e results showed that time delays have a slightly negative impact on linear stability and demonstrated the necessity of introducing communication delays.…”

Section: Cavs/drivers' Propertiesmentioning

confidence: 99%

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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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Section: Traffic Operationsupporting

confidence: 80%

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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“…Two models for CAV vehicles (i.e., adaptive cruise control [ACC] model and cooperative adaptive cruise control [CACC] model) have been calibrated by the PATH laboratory. In this study, Lcav1s is simulated by the ACC model; meanwhile, the CACC model is used for simulating other CAVs ( 25 ). The ACC model is presented as Equation 17.…”

Section: Platoon Management For Heterogeneous Trafficmentioning

confidence: 99%

“…To date, most of the existing research is concentrated on the influence of CAVs on the capacity and stability of heterogeneous traffic flow (24)(25)(26). However, under platoon organization, and ignoring the impact of CVs, these researches lack a comprehensive construction of theory.…”

mentioning

confidence: 99%

Impact of Platoon Management on Heterogeneous Traffic under V2X Communication Limitation

Dai

Yang

Zhong

2023

Transportation Research Record: Journal of the Transportation R

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The advent of vehicle-to-everything (V2X) communication technology, as well as driving automation that is happening at a rapid pace, enables the potential for transforming the transportation system. The near future will, therefore, bring the coexistence of human-driven vehicles (HVs), connected vehicles (CVs), and connected and automated vehicles (CAVs). Correspondingly, platoon management based on V2X communication is expected to improve traffic capacity and fuel efficiency. However, there is a lack of analysis of the impact of platoon management on heterogeneous traffic combined with CVs. Moreover, V2X communication limitation is usually dismissed in existing studies. To address these limitations, this paper explores the impact of platoon management on the capacity of heterogeneous-traffic environments under different CV and CAV market penetration rates (MPRs) with the fundamental diagram considering V2X communication limitations, and further studies the changes in capacity and fuel efficiency of traffic combined with different platoon sizes. Firstly, in light of platoon management, we propose the heterogeneous traffic configurations through distribution characteristics of nine types with simulated models. Secondly, the fundamental diagram considering platoon management with V2X communication limitation is proposed under different CV and CAV MPRs. Thirdly, numerical simulations are conducted to demonstrate the impact of platoon size on the changes in capacity and fuel efficiency of traffic. Conclusions are drawn from the results of the simulations: with the cooperation of CVs and CAVs, the traffic capacity and the fuel efficiency will be promoted, particularly under high CV MPR or high CAV MPR environments.

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“…Numerous researchers worked in this direction, with autonomous vehicles as a critical component (Milanés and Shladover 2014;Papadoulis et al 2019;Pereira and Rossetti 2012;Van Arem et al 2006;Ye and Yamamoto 2018). From the literature on understanding traffic string stability, researchers focused on numerous concepts, including heterogeneous driving characteristics Yao et al 2021), cooperative adaptive cruise settings , vehicle communications (Qin and Li 2020), mixed cooperative cruise control settings (Qin et al 2017), stability frameworks Zhang et al 2019), delay analysis (Zhang et al 2020), empirical analysis (Makridis et al 2020), platooning (Guo et al 2020;Ruan et al 2021;Zhao et al 2020), nonlinear platooning of vehicles (Hao et al 2020), and so on.…”

Section: Introductionmentioning

confidence: 99%

Proposed Empirical Approach to Measuring Traffic String Stability

Raju

Patil

Arkatkar

et al. 2022

ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

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This study originated with the intent of qualifying traffic string stability from empirical observations. A new responsiveness angle measure was developed to assess driver instincts under vehicle-following conditions. In this measure, the degree of the follower vehicle's attention towards its leader vehicle's actions is quantified. In understanding string stability in the traffic stream and assessing the propagation of disturbances, the newly conceptualized measure was used along with a discrete Fourier transform to measure the frequencies associated with responsiveness angle sequences. In this transform, a higher frequency of the angle depicts unstable conditions and vice versa. In assessing string stability from the empirical observations, vehicular trajectory data were developed from three study sections. Two study sections tended to have homogeneous lane-wise traffic, whereas the third section had mixed (heterogeneous) traffic. The results of the string stability analysis over the study sections showed that string stability varied with the change in traffic flow conditions, road geometries, and traffic flow type. In the case of free-flow conditions, the traffic streams were found to be stable with marginal disturbances in the responsiveness angle. From the analysis, it was observed that, in the case of study Section 3, around 26 instances of the stream were extremely unstable conditions (frequency equal to 10). For study Sections 1 and 2, the traffic stream was unsteady for 4 and 13 instances, respectively. However, as the traffic flow level rose, string stability deteriorated. This study demonstrated a novel approach to analyzing string stability based on actual traffic conditions that can be implemented in real time for traffic stream monitoring.

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Stability of heterogeneous traffic considering impacts of platoon management with multiple time delays

Cited by 34 publications

References 19 publications

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

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

Impact of Platoon Management on Heterogeneous Traffic under V2X Communication Limitation

Proposed Empirical Approach to Measuring Traffic String Stability

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