MOVES-Matrix for high-performance on-road energy and running emission rate modeling applications

Haobing Liu, Randall Guensler, Hongyu Lu, Yanzhi Xu, Xiaodan Xu, Michael O. Rodgers

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

The MOVES model was developed by the US EPA to estimate emissions from on-road mobile sources and nonroad sources in the US. Coupling high-resolution on-road vehicle activity data with appropriate MOVES emission rates further advances research efforts designed to assess the environmental impacts of transportation design and operation strategies. However, the complicated MOVES interface and slow performance makes it difficult to assess large, regional scale transportation networks and to undertake analyses of large-scale systems that are dynamic in nature. The MOVES-Matrix system develops an initial Large Matrix of MOVES outputs by running MOVES 146,853 times on the PACE high performance computing cluster to generate more than 90 billion emission rates to populate the matrix for a single area with one fuel regime and one inspection and maintenance program. A total of 117 Large Matrices is needed for the entire country. The MOVES-Matrix system developed could be used to conduct the emissions modeling 200-times faster than using MOVES. The hypothetical case study showed that MOVES-Matrix was able to generate the exact same emission results as the MOVES model to ensure the validity for regulatory analysis. The resulting matrix allowed users to link emission rates to big data projects and to evaluate changes in emissions for dynamic transportation systems in near-real-time. MOVES-Matrix does not currently estimate emissions from starts, hoteling or evaporative emissions, and the research team is working on MOVES-Matrix version 2 that supports incorporating off-network modeling.

Original languageEnglish
Pages (from-to)1415-1428
Number of pages14
JournalJournal of the Air and Waste Management Association
Volume69
Issue number12
DOIs
StatePublished - Dec 2 2019
Externally publishedYes

Funding

The information, data, or work presented herein were funded in part by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. This work was supported by the National Center for Sustainable Transportation.

FundersFunder number
National Center for Sustainable Transportation
United States Government

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