The invention provides a vehicle scheduling method for realizing intersection main road traffic load optimization. The method comprises the steps that a cloud network constructs a global optimization model and each main road model; the road side unit constructs and sends a first traffic load optimization model; the intelligent vehicle constructs and uploads a vehicle self-optimization model according to the global optimization model, each main road model and the first traffic load optimization model; the road side unit receives the vehicle self-optimization model, integrates the vehicle self-optimization model into a second traffic load optimization model and sends the second traffic load optimization model; the edge calculation unit receives the second traffic load optimization model, solves an optimization result, establishes a target main road congestion prediction model, and sends the optimization result and the target main road congestion prediction model; and the cloud network receives the optimization result and gives an intelligent vehicle scheduling decision. The technical problem that potential safety hazards exist in unencrypted data transmission between the intelligent traffic system and the vehicle is solved, and the technical effect of effectively protecting local privacy data of the intelligent vehicle is achieved.
本发明提供了一种实现交叉口主干道交通负载优化的车辆调度方法,包括:云端网络构建全局优化模型和各主干道模型;路侧单元构建并发送第一交通负载优化模型;智能车辆根据全局优化模型、各主干道模型和第一交通负载优化模型,构建并上传车辆自身优化模型;路侧单元接收车辆自身优化模型,整合成第二交通负载优化模型并发送;边缘计算单元接收第二交通负载优化模型,求解优化结果,建立目标主干道拥堵预测模型,发送优化结果和目标主干道拥堵预测模型;云端网络接收优化结果并给出智能车辆调度决策。本发明解决智能交通系统和车辆之间的不加密数据传输存在安全隐患的技术问题,实现有效保护智能车辆的本地隐私数据的技术效果。
Vehicle scheduling method for optimizing traffic load of main road at intersection
一种实现交叉口主干道交通负载优化的车辆调度方法
2023-02-03
Patent
Electronic Resource
Chinese
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