01588804

Component

https://rosap.ntl.bts.gov/view/dot/67084

The MOtor Vehicle Emission Simulator (MOVES) model is published by the United States Environmental Protection Agency (USEPA) to estimate emissions from on-road vehicles in the United States. Traffic simulation model outputs and smart phone global positioning system (GPS) data can provide detailed vehicle activity information in time and space. Coupling MOVES emission rates with various sources of high-resolution vehicle activity data can further advance research efforts designed to assess the environmental impacts of transportation design and operation strategies. However, the MOVES interface is complicated and the structure of input variables and algorithms involved in running MOVES to assess operational improvements makes the analyses cumbersome and time consuming. The MOVES interface also makes it difficult to assess complicated transportation networks and to undertake analyses of large scale systems that are dynamic in nature. The MOVES-Matrix system developed by the authors can be used to conduct the same emissions modeling in a fraction of the time, using a multidimensional array of MOVES outputs. The researchers configured MOVES to run on a distributed computing cluster, obtaining MOVES emission rate outputs for Atlanta for each vehicle class and model year at each operations, as a function of calendar year 2010-2020 (1-year interval) and 2025-2050 (5-year interval), local fuel (Summer fuel, Winter fuel, and Transition fuel), local I/M, meteorology (Temperature: 10-110 F with 5F-bin; Humidity: 0%-100% with 5%-bin ), and other variables of interest. For Atlanta, MOVES was run 22,491 times to generate the speed-bin and operating mode-bin emission rate matrices. The emission rate matrices allow users to employ big data inputs to and evaluate changes in emissions for dynamic transportation systems in near-real-time. In the case study, emission rate generation with MOVES-Matrix is 200-times faster than using the MOVES GUI in the same computer environment and predicts the same emissions results.

This paper was sponsored by TRB committee ADC20 Standing Committee on Transportation and Air Quality.

01584066

16-6362

English

18p

2016

Transportation Research Board 95th Annual Meeting

Digital/other

Figures; References; Tables

Case studies; Environmental impacts; Exhaust gases; Meteorology; Simulation; Temperature; Vehicle classification

Motor Vehicle Emission Simulator (MOVES)

Vehicle model year

Atlanta (Georgia)

Environment; Highways; Vehicles and Equipment; I15: Environment; I90: Vehicles

Transportation Research Board Annual Meeting 2016 Paper #16-6362

NTL, TRIS, TRB, ATRI

Jan 12 2016 6:49PM