Stability and energy consumption of a double flow controlled two-lane traffic system with vehicle-to-infrastructure communication

Guo, Xin-Yue; Zhang, Geng; Jia, Ai-Fang

doi:10.1016/j.apm.2023.03.029

Cited by 10 publications

(4 citation statements)

References 40 publications

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“…In respect of energy consumption, Peng et al [18] proposed a new lattice hydrodynamic model to calculate the energy consumption of the traffic system, and the results showed that by considering delay control under the V2X environment, energy consumption can be reduced. Guo et al [19] presented a two-line traffic system, and the results showed that the energy consumption can be reduced by considering delayed flow control information. Zeng et al [20] simulated the influence of CAV and platoons on traffic flow and energy consumption, and the results showed that increasing the proportion of CAV can effectively reduce the average energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Effects of connected automated vehicle on stability and energy consumption of heterogeneous traffic flow system

Shen 申,

Zhao 赵,

Liu 刘

et al. 2024

Chinese Phys. B

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With the progression of intelligent and interconnected traffic system, a convergence of traffic stream is anticipated in the foreseeable future, where both connected automated vehicle (CAV) and human driven vehicle (HDV) will coexist. In order to examine the effect of CAV on the overall stability and energy consumption of such heterogeneous traffic system, we first take into account the interrelated perception of distance and speed by CAV to establish a macroscopic dynamic model utilizing the full velocity difference (FVD) model. Subsequently, drawing upon the linear stability theory, we propose the linear stability condition for the model using the small perturbation method，and the validity of the heterogeneous model is verified comparing with the FVD model. Through nonlinear theoretical analysis, we further derive the KdV-Burgers equation, which captures the propagation characteristics of traffic density waves. Finally, by means of numerical simulation experiments utilizing a macroscopic model of heterogeneous traffic flow, the effect of CAV permeability on the stability of density waves in heterogeneous traffic flow and the energy consumption of the traffic system is investigated. Subsequent analysis reveals emergent traffic phenomena. The experimental findings demonstrate that as CAV permeability increases, the ability to dampen the propagation of fluctuations in heterogeneous traffic flow gradually intensifies when giving system perturbation, leading to enhanced stability of the traffic system. Furthermore, higher initial traffic density renders the traffic system more susceptible to congestion, resulting in local clustering effect and stop-and-go traffic phenomenon. Remarkably, the total energy consumption of the heterogeneous traffic system exhibits a gradual decline with increasing CAV permeability. Further evidence has demonstrated the positive impact of CAV on heterogeneous traffic flow. This research contributes to providing theoretical guidance for future CAV applications, aiming to enhance urban road traffic efficiency and alleviate congestion.

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Section: Introductionmentioning

confidence: 99%

Effects of connected automated vehicle on stability and energy consumption of heterogeneous traffic flow system

Shen 申,

Zhao 赵,

Liu 刘

et al. 2024

Chinese Phys. B

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“…To name a few, Peng et al [49] presented a novel lattice hydrodynamic model with the synergistic information transmission delay under the V2X environment; the impact of new add-terms on energy consumption was analyzed. Guo et al [50] designed a double flow control protocol to ease traffic jams and reduce energy consumption. Peng et al [51] presented a lattice hydrodynamic model by considering the timid and aggressive driver's characteristics corresponding to the honk effect under the V2X environment for a two-lane highway, obtaining the associated stability criterion and mKdV equation.…”

Section: Introductionmentioning

confidence: 99%

Congested traffic patterns of lattice hydrodynamic model in a connected mixed traffic environment with overtaking effect

Cong,

Wu,

Zhang

et al. 2024

Preprint

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In the presence of Vehicle-to-everything (V2X) communication technologies, connected automated vehicles (CAVs) can extend the drivers’ perception ranges and obtain more abundant road vehicle information to regulate the vehicle status in real time. Nevertheless, promoting CAVs is a long process, and there will be both artificially human-driven vehicles (HDVs) and CAVs on the road during this transition era. Besides, as one of the basic microscopic driving behaviors, overtaking is relatively rare in the traffic flow model, especially in mixed-traffic environments. To fill this gap, we propose a novel heterogeneous traffic flow accounting for the HDVs and CAVs with passing effects from a macroscopic perspective. Subsequently, we conduct the linear stability analysis to determine the stability norm corresponding to the new model. When the above stability criterion is not established, we investigate the nonlinear phenomenon of the proposed model, and the modified Korteweg-de Vries (mKdV) equation and its existing conditions are obtained separately. When the overtaking ratio is adequately low such that the existence condition is met, the entire phase space consists of two parts, no jam and kink jam; when the passing ratio surpasses the threshold and the existence condition is not satisfied, the original unstable region can be further subdivided into kink jam sub-region and chaotic sub-region, and the density wave gradually evolved from kink-Bando traffic wave into the chaotic phase with the increasing of penetration rate. The results of the numerical examples verify the theoretical derivation.

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“…The Internet of Things has given rise to the concept of IoV, where IoV networks function as subsets of mobile networks primarily comprising vehicles 8 – 10 . IoV networks use wireless communication technology to communicate with their surroundings 11 – 13 . IoV are fully autonomous; they communicate with each other and create a wireless network 14 , 15 .…”

Section: Introductionmentioning

confidence: 99%

A new secure offloading approach for internet of vehicles in fog-cloud federation

Salami,

Khajehvand,

Zeinali

2024

Sci Rep

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The Internet of Vehicles (IoV) plays a crucial role in advancing intelligent transportation systems. However, due to limited processing power, IoV faces challenges in independently handling large volumes of data, necessitating the use of offloading as a solution. Offloading data in wireless environments raises security concerns, highlighting the need for robust data protection mechanisms. This study introduces a secure offloading (SO) scheme within the Fog-Cloud Federation for IoV. The proposed NSO-VFC scheme undergoes both informal and formal analysis using the Avispa tool, demonstrating resilience against active and passive attacks. Performance evaluations indicate that the security measures of NSO-VFC meet acceptable standards compared to similar approaches. Nonetheless, the heightened focus on security incurs higher computational and communication costs than alternative strategies. Simulation experiments using the NS3 tool involve varying numbers of IoVs (50, 70, and 100), revealing that increased IoV density correlates with enhanced packet delivery rates and throughput within the NSO-VFC scheme.

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Stability and energy consumption of a double flow controlled two-lane traffic system with vehicle-to-infrastructure communication

Cited by 10 publications

References 40 publications

Effects of connected automated vehicle on stability and energy consumption of heterogeneous traffic flow system

Effects of connected automated vehicle on stability and energy consumption of heterogeneous traffic flow system

Congested traffic patterns of lattice hydrodynamic model in a connected mixed traffic environment with overtaking effect

A new secure offloading approach for internet of vehicles in fog-cloud federation

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