论文标题

Movestar:基于USEPA移动的开源车辆燃料和排放模型

MOVESTAR: An Open-Source Vehicle Fuel and Emission Model based on USEPA MOVES

论文作者

Wang, Ziran, Wu, Guoyuan, Scora, George

论文摘要

在本文中,我们引入了一种开源模型“ Movestar”,以计算汽车的燃油消耗和污染物排放。该模型是基于美国环境保护局(EPA)的机动车发射模拟器(MOVES)开发的,该模拟器可准确估算在广泛的用户定义条件下的车辆排放。最初,移动要求用户通过其软件指定许多参数,包括车辆类型,时间段,地理区域,污染物,车辆操作特性和道路类型。在本文中,Movestar是作为简化版本开发的,该版本仅将第二个车辆速度数据和车辆类型作为输入。为了简单地集成此模型,其源代码以各种语言提供,包括Python,Matlab和C ++。本文引入了案例研究,以说明该模型在高级车辆技术开发中的有效性。

In this paper, we introduce an open-source model "MOVESTAR" to calculate the fuel consumption and pollutant emissions of motor vehicles. This model is developed based on U.S. Environmental Protection Agency's (EPA) Motor Vehicle Emission Simulator (MOVES), which provides an accurate estimate of vehicle emissions under a wide range of user-defined conditions. Originally, MOVES requires users to specify many parameters through its software, including vehicle types, time periods, geographical areas, pollutants, vehicle operating characteristics, and road types. In this paper, MOVESTAR is developed as a simplified version, which only takes the second-by-second vehicle speed data and vehicle type as inputs. To enable easy integration of this model, its source code is provided in various languages, including Python, MATLAB and C++. A case study is introduced in this paper to illustrate the effectiveness of the model in the development of advanced vehicle technology.

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