The invention relates to the technical field of automatic driving test, and discloses an automatic driving vehicle open road test route planning method comprising the following steps: 1, collecting target historical data; 2, constructing a traffic flow characteristic prediction AI model based on deep learning and a test road risk level prediction AI model based on deep learning; 3, taking the road characteristics and future traffic flow characteristics output by the traffic flow characteristic prediction AI model as input, and outputting future test road risk levels of the roads in the urban road network by the test road risk level prediction AI model; and step 4, based on the future test road risk level, according to the test demand index, screening out target test roads, and combining the target test roads to obtain a test route planning scheme. According to the invention, a test route planning scheme meeting requirements can be provided for the open road test of the automatic driving vehicle, the test efficiency can be improved, and the test effect can be optimized.
本发明涉及自动驾驶测试技术领域,公开了一种自动驾驶车辆开放道路测试路线规划方法,包括以下步骤:步骤1,采集目标历史数据;步骤2,构建基于深度学习的交通流特性预测AI模型、基于深度学习的测试道路风险等级预测AI模型;步骤3,以道路特征和由交通流特性预测AI模型输出的未来交通流特征作为输入,由测试道路风险等级预测AI模型输出城市路网中的道路的未来测试道路风险等级;步骤4,基于未来测试道路风险等级,根据测试需求指标,筛选出目标测试道路,组合目标测试道路,得到测试路线规划方案。本发明能够为自动驾驶车辆的开放道路测试提供符合需求的测试路线规划方案,有助于提高其测试效率,优化测试效果。
Automatic driving vehicle open road test route planning method
一种自动驾驶车辆开放道路测试路线规划方法
2024-12-17
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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