Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Expressway design element optimization method and system in automatic driving mixed driving environment
The invention discloses an expressway design element optimization method and system in an automatic driving mixed driving environment, and the method comprises the steps: collecting environment data of a target road section, and generating a road horizontal, vertical and horizontal line shape, the number of vehicles, the vehicle model proportion and the speed; designing a traffic scene based on the environment data in combination with map data, and constructing a virtual basic scene; obtaining an evaluation index of a related evaluation criterion; analyzing the driving characteristic difference between the automatic driving vehicle and the manual driving vehicle, establishing a road design scheme under different road design element values in combination with road design specifications, and obtaining evaluation index values; and constructing a multi-criterion evaluation model, obtaining a relative comprehensive score of each traffic scene working condition, taking the road design scheme corresponding to the highest relative comprehensive score as a final scheme, and completing optimization of the road design elements. According to the method, the safety, efficiency and adaptability of the road are improved, and the method has engineering application value and significance on the road design problem under the mixed driving environment of automatic driving and manual driving vehicles in the future.
本发明公开了自动驾驶混行环境下的快速道路设计要素优化方法、系统，该方法包括采集目标路段的环境数据，生成道路平纵横线形、车辆数量、车型比例和速度；基于环境数据，结合地图数据设计交通场景，构建虚拟基础场景；获取相关评价准则的评价指标；分析自动驾驶车辆与人工驾驶车辆的行驶特征差异，结合道路设计规范，建立不同道路设计要素取值下的道路设计方案，获得评价指标值；构建多准则评价模型，得到各交通场景工况的相对综合得分，将相对综合得分最高对应的道路设计方案作为最终的方案，完成道路设计要素的优化。本发明提高了道路的安全性、效率和适应性，在未来自动驾驶与人工驾驶车辆混行环境下的道路设计问题上具有工程应用价值和意义。
Expressway design element optimization method and system in automatic driving mixed driving environment
The invention discloses an expressway design element optimization method and system in an automatic driving mixed driving environment, and the method comprises the steps: collecting environment data of a target road section, and generating a road horizontal, vertical and horizontal line shape, the number of vehicles, the vehicle model proportion and the speed; designing a traffic scene based on the environment data in combination with map data, and constructing a virtual basic scene; obtaining an evaluation index of a related evaluation criterion; analyzing the driving characteristic difference between the automatic driving vehicle and the manual driving vehicle, establishing a road design scheme under different road design element values in combination with road design specifications, and obtaining evaluation index values; and constructing a multi-criterion evaluation model, obtaining a relative comprehensive score of each traffic scene working condition, taking the road design scheme corresponding to the highest relative comprehensive score as a final scheme, and completing optimization of the road design elements. According to the method, the safety, efficiency and adaptability of the road are improved, and the method has engineering application value and significance on the road design problem under the mixed driving environment of automatic driving and manual driving vehicles in the future.
本发明公开了自动驾驶混行环境下的快速道路设计要素优化方法、系统，该方法包括采集目标路段的环境数据，生成道路平纵横线形、车辆数量、车型比例和速度；基于环境数据，结合地图数据设计交通场景，构建虚拟基础场景；获取相关评价准则的评价指标；分析自动驾驶车辆与人工驾驶车辆的行驶特征差异，结合道路设计规范，建立不同道路设计要素取值下的道路设计方案，获得评价指标值；构建多准则评价模型，得到各交通场景工况的相对综合得分，将相对综合得分最高对应的道路设计方案作为最终的方案，完成道路设计要素的优化。本发明提高了道路的安全性、效率和适应性，在未来自动驾驶与人工驾驶车辆混行环境下的道路设计问题上具有工程应用价值和意义。
Expressway design element optimization method and system in automatic driving mixed driving environment
自动驾驶混行环境下的快速道路设计要素优化方法、系统
XU CHENGCHENG (Autor:in) / ZHANG YUE (Autor:in) / SUN YAKANG (Autor:in) / SHAO YONGCHENG (Autor:in) / GAO XUELIN (Autor:in)
16.08.2024
Patent
Elektronische Ressource
Chinesisch
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