论文标题
通过多尺度二阶模型对交通排放的估计，并具有异质数据
Estimate of traffic emissions through multiscale second order models with heterogeneous data
论文作者
论文摘要
在本文中，我们根据通用二阶模型的家族提出了一个多尺度流量模型，该模型将多个轨迹数据集成到速度函数中。二阶宏观模型与微观信息的这种组合使我们能够重现速度和加速度的显着变化，从而强烈影响交通排放。即使有一些轨迹数据，我们也可以获得准确的近似值。因此，提出的方法是一种计算高效且高度准确的工具，用于计算宏观交通量和估计排放。
In this paper we propose a multiscale traffic model, based on the family of Generic Second Order Models, which integrates multiple trajectory data into the velocity function. This combination of a second order macroscopic model with microscopic information allows us to reproduce significant variations in speed and acceleration that strongly influence traffic emissions. We obtain accurate approximations even with a few trajectory data. The proposed approach is therefore a computationally efficient and highly accurate tool for calculating macroscopic traffic quantities and estimating emissions.
