The invention discloses a method and system for constructing an intelligent automobile human-like decision model, and the method comprises the steps: analyzing a cognitive task of a main automobile in a current traffic environment, determining key elements, related to a cognitive link, of the main automobile in a traffic scene, and based on the key elements, analyzing a characterization method of multi-agent safety between the main automobile and the traffic environment. Constructing a human-like understanding model; analyzing a long-term safety risk represented by the key elements, predicting a future space-time range of the traffic situation according to a long-term safety risk evaluation result and a destination planning result, constructing a heuristic pre-judgment model, and further combining with a human-like understanding model to form a human-like understanding and pre-judgment decision model; and optimizing a decision result obtained by the humanoid understanding and pre-judgment decision model according to the optimization evaluation parameters except the multi-agent safety. According to the method, the decision result can be kept logically continuous on the spatio-temporal scale, and the interpretability and expandability of the decision model are improved through reasonable connection between the models.
本发明公开了一种用于构建智能汽车类人决策模型的方法和系统,包括:分析主车在当前交通环境的认知任务,确定主车在交通场景中与认知环节相关的关键要素,基于此,分析主车与交通环境之间多智能体安全的表征方法,构建类人理解模型;分析关键要素所表征的长期安全风险,并根据长期安全风险评价结果和目的地规划结果,对交通态势进行未来时空范围的预测,构建启发式预判模型,进一步结合类人理解模型,形成类人理解与预判决策模型;根据除多智能体安全外的优化评价参量,对由类人理解与预判决策模型得到的决策结果进行优化。本发明能使决策结果在时空尺度上保持逻辑连续,并通过模型间的合理衔接提高决策模型的可解释性与可扩展性。
Human-like decision-making method, human-like decision-making model construction method and human-like decision-making model construction system
类人决策方法、以及类人决策模型构建方法和系统
2022-12-27
Patent
Electronic Resource
Chinese
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