Connected and automated vehicles (CAVs) can bring energy, mobility, and safety benefits to transportation. Energy savings can be achieved by solving a mathematical optimization problem for a lookahead horizon using previewed traffic information enabled by connectivity. However, it is challenging to predict shortterm traffic, especially for mixed-traffic scenarios, where both connected and unconnected vehicles are on the road.

中文翻译：

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节能互联和自动化车辆：实时交通预测支持车辆运动和动力系统运行的协同优化

联网和自动驾驶汽车 (CAV) 可为交通带来能源、移动性和安全性优势。通过使用由连通性启用的预览交通信息解决前瞻范围的数学优化问题，可以实现节能。然而，预测短期交通是具有挑战性的，特别是对于混合交通场景，其中联网和未联网的车辆都在路上。