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Simulation and testing method for evaluating the effects of position error, communication delay and penetration rate to connected vehicles safety

机译:用于评估位置误差,通信延迟和穿透率对联网车辆安全性影响的仿真和测试方法

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Uncertainties of connected vehicle (CV) system, such as vehicle position error, communication delay and penetration rate would significantly influence the systematic performance. A simulation and testing method for evaluating the effects of uncertainties to connected vehicle safety is proposed in this paper. To construct the basic simulation environment, a five-subsystem simulation structure is designed. And Gaussian distribution based vehicle position error model, uniform and Rayleigh distribution based communication delay model and penetration rate model are introduced and implemented to enhance the reality of the simulation. Then a simulation scenario, which is composed of vehicle overspeed as traffic hazard, nonlinear segmented vehicle braking (NSVK) model as pre-warning method and uncertainties models as system disturbances, is set up to evaluate the effects of uncertainties to connected vehicle safety. A High Level Architecture (HLA) based simulation platform is established to verify the proposed method. The results show that, with position error in the scenario, successful warning rate is 88%. And the successful warning rate increases when the deceleration of pre-warning approach decreases. In in the scenario with communication delay, successful warning rate reaches 100%. And successful warning rate increases with Origin Destination (OD) value and penetration rate, and penetration rate influences more.
机译:互联车辆(CV)系统的不确定性,例如车辆位置误差,通信延迟和穿透率,将极大地影响系统性能。本文提出了一种仿真和测试方法,用于评估不确定性对联网车辆安全性的影响。为了构建基本的仿真环境,设计了一个五子系统仿真结构。引入并实现了基于高斯分布的车辆位置误差模型,基于均匀和瑞利分布的通信延迟模型和穿透率模型,以增强仿真的真实性。然后建立了以车辆超速为交通隐患,非线性分段车辆制动(NSVK)模型为预警方法,不确定性模型为系统扰动的仿真场景,以评估不确定性对联网车辆安全性的影响。建立了基于高层架构(HLA)的仿真平台,以验证所提出的方法。结果表明,在存在位置错误的情况下,成功警告率为88%。当预警方法的减速度减小时,成功预警率增加。在出现通信延迟的情况下,成功警告率达到100%。成功警告率随原始目的地(OD)值和渗透率而增加,并且渗透率的影响更大。

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