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.

翻译：在本文中,我们提出了一个基于通用第二顺序模型组合的多尺度交通模式,该模式将多个轨道数据纳入速度函数中,将第二顺序宏观模型与微显微信息相结合,使我们能够复制对交通排放有重大影响的速度和加速度的巨大变化。我们获得准确的近似,即使有几条轨道数据。因此,拟议方法是一种计算高效和高度准确的工具,用于计算大型交通量和估计排放量。