集成GNSS/INU,车辆动力学和微观交通流模拟器,用于汽车安全

G. Dedes, D. Grejner-Brzezinska, D. Guenther, G. Heydinger, K. Mouskos, B. Park, C. Toth
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引用次数: 15

摘要

本文介绍了基于VISSIM的微观交通模拟器、基于CarSim的车辆动力学模拟器和GNSS/INU模拟器的综合集成GNSS/INU模拟器的开发。由此产生的GNSS/INU模拟器提供了一个集成的设计、测试和评估平台,用于探索新想法,开发先进的概念设计,并研究现有和新兴的全球导航系统(GNSS)和惯性导航单元(INU)技术在车辆和网络层面对汽车安全的影响。为了模拟危险条件,VISSIM基于替代安全指标生成安全警告事件。警告事件在车辆动力学模拟器CarSim中被拦截,该模拟器根据VISSIM生成的控制参数生成模拟的“地面真实”轨迹。GNSS/INU误差由GNSS/INU模拟器生成,并添加到CarSim的“地面真实”轨迹中。模拟的GNSS/INU车辆轨迹和“地面真实”CarSim轨迹通过“驾驶员-车辆响应”模块进行处理,以估计个别车辆碰撞。这些崩溃被用来训练神经网络(NN)作为非参数网络崩溃估计器。使用训练好的神经网络和V2V/V2I模拟器来估计由于在车辆中使用GNSS/IMU传感器而导致的网络崩溃的减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated GNSS/INU, vehicle dynamics, and microscopic traffic flow simulator for automotive safety
This paper presents the development of a comprehensive integrated GNSS/INU simulator consisting of a microscopic traffic simulator based on VISSIM, a vehicle dynamics simulator based on CarSim, and a GNSS/INU simulator. The resulting GNSS/INU simulator provides an integrated design, test and evaluation platform for exploring new ideas, developing advanced concept designs and investigating the impact of existing and emerging Global Navigation Systems (GNSS) and Inertial Navigation Unit (INU) technologies on automotive safety at the vehicle and network levels. For the simulation of hazardous conditions VISSIM generates safety warning events based on surrogate safety indicators. The warning events are intercepted at the vehicle dynamics simulator CarSim which generates simulated `ground truth' trajectories based on VISSIM's generated control parameters. GNSS/INU errors are generated by a GNSS/INU simulator and added to the CarSim `ground truth' trajectories. The simulated GNSS/INU vehicle trajectories and the `ground truth' CarSim trajectories are processed through a “Driver-Vehicle Response” module for the estimation of individual vehicle crashes. These crashes are employed to train a Neural Network (NN) as a non-parametric network crash estimator. The trained NN and V2V/V2I simulators are employed to estimate the reduction of network crashes resulting from the use of GNSS/IMU sensors in the vehicles.
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