2017年美赛优秀论文英文原文和论文中文翻译.zip

包含2017美赛的4篇O奖论文及其论文中文翻译
例：
中文翻译:
我们的解决方案包括三个主要部分。首先，我们针对交通流量，密度和平均速度之间的关系提出了宏观（连续）模型。除了在传统经验模型上提高合理性之外，我们的模型还允许进行直接调整，以反映当前自动驾驶/合作车辆的百分比。我们发现，在道路上给定的汽车密度下，使用该参数，交通流量和平均速度会相当均匀地增加，并显示出道路上汽车总数的增加如何可能抵消这种有益影响
英文原文：
Our solution consists of three main sections. In the first, we propose a macroscopic
(continuum) model for the relationship between traffic flow, density, and mean speed. In addition to an improved justifiability over traditional empirical models, ours also allows for a straightfoward adjustment to reflect the percentage of self-driving/cooperative vehicles present. We find that at a given density of cars on the road, traffic flow and average speed increase fairly uniformly with that parameter, and show how an increase in overall number of cars on the road is likely to negate this beneficial effect.