基于“大数据”的交通可持续性

本项目为美国能源部DOE CERC-CVC项目的一个衍生项目，旨在利用“大数据”和数据科学方法，了解人类移动动态及其对交通可持续性的影响。具体而言，我们使用大型实时出租车轨迹数据来表征个体层面的移动动态（例如，在大城市中使用约20,000辆车辆的数据，为期30天）。基于对个体移动动态的表征，我们评估了大规模部署电动汽车的环境影响，优化公共电动汽车充电基础设施的位置，并评估拼车的环境效益。

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