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MOVES-Matrix 3.0: On-Road Energy and Emission Modeling with High-Performance Supercomputing

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  • Lu, Hongyu
  • Rodgers, Michael O.
  • Guensler, Randall

Abstract

The Georgia Tech research team developed MOVES-Matrix 3.0 based on the EPA's MOVES3 (version 3.1.0) energy use and emission rate model by running MOVES3 thousands of times on the PACE supercomputing cluster across all combinations of input variables and storing the output as lookup tables. MOVES-Matrix 3.0 allows on-road energy consumption and emissions modeling to be conducted more than 800 times faster than running MOVES, while it generates the exact same results, as verifiedin this report. MOVES-Matrix 3.0 was designed similarly to its predecessor, MOVES-Matrix 2014, but required extensive code modifications to accommodate changes in the MOVES3 environment (including a shift from MySQL to MariaDB and incorporation of new vehicle source sub-types and operating parameters). The review of the fuel and I/M scenarios indicated that MOVES3 now defines 122 modeling regions, as compared with 109 regions in MOVES 2014b (different matrices need to be developed each modeling region). The development of matrices for each modeling region takes approximately 15-20 days on the PACE supercomputing cluster given our assigned resources (compared with only 5-7 days to develop matrices for MOVES 2014). A case study of 3,000 roadway links using Atlanta's matrices confirmed that MOVES-Matrix 3.0 produces the exact same energy consumption and emissions results as MOVES3, but execution modules operate 800 times faster using MOVES-Matrix lookupsthan running MOVES for any single run. View the NCST Project Webpage

Suggested Citation

  • Lu, Hongyu & Rodgers, Michael O. & Guensler, Randall, 2024. "MOVES-Matrix 3.0: On-Road Energy and Emission Modeling with High-Performance Supercomputing," Institute of Transportation Studies, Working Paper Series qt4cs5q28b, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt4cs5q28b
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    References listed on IDEAS

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    1. Fan, Huiying & Lu, Hongyu & Guin, Angshuman & Watkins, Kari E & Guensler, Randall, 2022. "Combined Effect of Changes in Transit Service and Changes in Occupancy on Per-Passenger Energy Consumption," Institute of Transportation Studies, Working Paper Series qt2x1320p5, Institute of Transportation Studies, UC Davis.
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    1. Lu, Hongyu & Rodgers, Michael O & Guensler, Randall, 2023. "MOVES-Matrix 3.0 for High-Performance On-Road Energy and Emission Rate Modeling Applications," Institute of Transportation Studies, Working Paper Series qt7qd6w47w, Institute of Transportation Studies, UC Davis.
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    Keywords

    Engineering; Computer models; Energy consumption; Pollutants;
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