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陈大山. 混合自动驾驶环境下快速路速度引导仿真[J]. 应用技术学报, 2020, 20(4): 356-360. DOI: 10.3969/j.issn.2096-3424.2020.04.009
引用本文: 陈大山. 混合自动驾驶环境下快速路速度引导仿真[J]. 应用技术学报, 2020, 20(4): 356-360. DOI: 10.3969/j.issn.2096-3424.2020.04.009
CHEN Dashan. Simulation Research of Expressway Speed Guidance Under Mixed Automatic Driving Environment[J]. Journal of Technology, 2020, 20(4): 356-360. DOI: 10.3969/j.issn.2096-3424.2020.04.009
Citation: CHEN Dashan. Simulation Research of Expressway Speed Guidance Under Mixed Automatic Driving Environment[J]. Journal of Technology, 2020, 20(4): 356-360. DOI: 10.3969/j.issn.2096-3424.2020.04.009

混合自动驾驶环境下快速路速度引导仿真

Simulation Research of Expressway Speed Guidance Under Mixed Automatic Driving Environment

  • 摘要: 城市快速路通过速度引导控制,可以提高道路运行效率且降低事故发生率。混合自动驾驶环境下,速度引导的控制效果会受到自动驾驶车辆比例的影响,通过上海快速路段微观仿真建模混合自动驾驶环境,研究自动驾驶车辆混合比例与速度引导控制效果之间的关系,对比分析了不同组合情况下车辆冲突与行程时间的变化。结果表明,自动驾驶车辆的比例对速度引导控制效果有一定的影响。

     

    Abstract: The speed guidance control of urban expressways can improve the efficiency of road operation and reduce the incidence of accidents. Under the hybrid automatic driving environment, the control effect of speed guidance will be affected by the proportion of automatic driving vehicles. Based on the micro simulation model of Shanghai Expressway, the relationship between the hybrid proportion of automatic driving vehicles and the control effect of speed guidance was studied. The vehicle conflict and the change of travel time under different combinations were analyzed. The results showed that the proportion of autonomous vehicles exerted a certain impact on the speed guidance control effect.

     

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