主要介绍了基于M ATLAB/S im u link和D e lph i两种途径的鱼雷尾追式弹道的设计与仿真方法。首先给出鱼雷导引系统的数学模型,然后介绍如何应用S im u link建立系统的仿真模型并进行仿真计算,并使用D e lph i语言进行了仿真,最后给出...主要介绍了基于M ATLAB/S im u link和D e lph i两种途径的鱼雷尾追式弹道的设计与仿真方法。首先给出鱼雷导引系统的数学模型,然后介绍如何应用S im u link建立系统的仿真模型并进行仿真计算,并使用D e lph i语言进行了仿真,最后给出相应的仿真结果和分析。S im u link的仿真方法克服了其他传统编程语言如D e lph i仿真时繁杂、难度高、周期长的缺点,使动态系统的仿真变得容易、直观、迅捷。展开更多
To explore the relationship between rear-end crash risk and its influencing factors, on-road experiments were conducted for measuring the individual vehicle trajectory data associated with novice and experienced drive...To explore the relationship between rear-end crash risk and its influencing factors, on-road experiments were conducted for measuring the individual vehicle trajectory data associated with novice and experienced drivers. The rear-end crash potential probability based on the time to collision was proposed to represent the interpretation of rear-end crash risk.One-way analysis of variance was applied to compare the rearend crash risks for novice and experienced drivers. The rearend crash risk models for novice and experienced drivers were respectively developed to identify the effects of contributing factors on the driver rear-end crash risk. Also, the cumulative residual method was used to examine the goodness-of-fit of models. The results show that there is a significant difference in rear-end risk between the novice and experienced drivers.For the novice drivers, three risk factors including the traffic volume, the number of lanes and gender are found to significantly impact on the rear-end crash risk, while significant impact factors for experienced drivers are the vehicle speed and traffic volume. The rear-end crash risk models perform well based on the existing limited data samples.展开更多
文摘主要介绍了基于M ATLAB/S im u link和D e lph i两种途径的鱼雷尾追式弹道的设计与仿真方法。首先给出鱼雷导引系统的数学模型,然后介绍如何应用S im u link建立系统的仿真模型并进行仿真计算,并使用D e lph i语言进行了仿真,最后给出相应的仿真结果和分析。S im u link的仿真方法克服了其他传统编程语言如D e lph i仿真时繁杂、难度高、周期长的缺点,使动态系统的仿真变得容易、直观、迅捷。
基金The National Natural Science Foundation of China(No.51478110)
文摘To explore the relationship between rear-end crash risk and its influencing factors, on-road experiments were conducted for measuring the individual vehicle trajectory data associated with novice and experienced drivers. The rear-end crash potential probability based on the time to collision was proposed to represent the interpretation of rear-end crash risk.One-way analysis of variance was applied to compare the rearend crash risks for novice and experienced drivers. The rearend crash risk models for novice and experienced drivers were respectively developed to identify the effects of contributing factors on the driver rear-end crash risk. Also, the cumulative residual method was used to examine the goodness-of-fit of models. The results show that there is a significant difference in rear-end risk between the novice and experienced drivers.For the novice drivers, three risk factors including the traffic volume, the number of lanes and gender are found to significantly impact on the rear-end crash risk, while significant impact factors for experienced drivers are the vehicle speed and traffic volume. The rear-end crash risk models perform well based on the existing limited data samples.
