The invention relates to the technical field of big data, and discloses a network-connected autonomous vehicle user diffusion prediction method and device, equipment and a medium. According to the method, a basic attribute data set reflecting personal social attributes, travel characteristics and travel selection preferences of the networked autonomous vehicle user and a decision influence factor set reflecting networked autonomous vehicle selection willingness and travel mode selection influence factors of the networked autonomous vehicle user are used; according to the method, an innovative diffusion theory and a technical acceptance model are combined, a corresponding ICLV mode selection model can be constructed, furthermore, an Agent-based network-connected automatic driving automobile user diffusion model for prediction is further constructed through the ICLV mode selection model, and a generated diffusion prediction result can be more real, accurate and practical.
本发明涉及大数据技术领域,公开了一种网联自动驾驶汽车用户扩散预测方法、装置、设备及介质,本发明通过反映网联自动驾驶汽车用户的个人社会属性、出行特征和出行选择偏好的基本属性数据集和反映网联自动驾驶汽车用户的网联自动驾驶汽车选择意愿和出行方式选择影响因素的决策影响因素集,结合创新扩散理论和技术接受模型,可以构建得到对应的ICLV方式选择模型,进一步,通过该ICLV方式选择模型进一步构建用于预测的基于Agent的网联自动驾驶汽车用户扩散模型,可以使产生的扩散预测结果更加真实准确,切合实际。
Network-connected self-driving automobile user diffusion prediction method, device, equipment and medium
网联自动驾驶汽车用户扩散预测方法、装置、设备及介质
2024-04-26
Patent
Electronic Resource
Chinese
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