uTECH Turbo-MOVES: The Intersection of Software Architectural Innovation and Sustainable Mobility Analysis

Transportation is a major source of energy consumption, greenhouse gas emissions, and criteria air pollutants, making efficient emissions estimation essential for environmental planning and policy analyses. The U.S. Environmental Protection Agency's Motor Vehicle Emission Simulator (MOVES) supports detailed emissions modeling, but its computational demands constrain large-scale scenario analyses. This study introduces uTECH Turbo-MOVES, a software architecture that expedites MOVES computation without modifying its Calculator modules or input/output structure. By combining RunSpec partitioning, container isolation, in-memory intermediate storage, and concurrent workload orchestration, it improves execution efficiency. We evaluate six benchmark cases spanning County, Default, and Project scales and both Emission Inventory and Emission Rates modes. Results demonstrate a measured 5.5x and an estimated 15.3x per-run speedup for Default-scale workloads, and an 84.8x campaign speedup for an eight-county Emission Rates analysis. Although gains vary by workload and hardware configuration, uTECH Turbo-MOVES enables more extensive environmental assessments and transportation policy evaluation.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-11-02
DOI
https://doi.org/10.48550/arxiv.2611.03321
Primary Topic
Vehicle emissions and performance
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

uTECH Turbo-MOVES: The Intersection of Software Architectural Innovation and Sustainable Mobility Analysis

Alireza Yazdiani, Cafer Avcı, Mohammad Tayarani, Megh Khaire et al.
arXiv (Cornell University)
Vehicle emissions and performance
preprint

uTECH Turbo-MOVES: The Intersection of Software Architectural Innovation and Sustainable Mobility Analysis

Alireza Yazdiani, Cafer Avcı, Mohammad Tayarani, Megh Khaire, H. Oliver Gao, Roopak Srinivasan
preprint en

Abstract

Transportation is a major source of energy consumption, greenhouse gas emissions, and criteria air pollutants, making efficient emissions estimation essential for environmental planning and policy analyses. The U.S. Environmental Protection Agency's Motor Vehicle Emission Simulator (MOVES) supports detailed emissions modeling, but its computational demands constrain large-scale scenario analyses. This study introduces uTECH Turbo-MOVES, a software architecture that expedites MOVES computation without modifying its Calculator modules or input/output structure. By combining RunSpec partitioning, container isolation, in-memory intermediate storage, and concurrent workload orchestration, it improves execution efficiency. We evaluate six benchmark cases spanning County, Default, and Project scales and both Emission Inventory and Emission Rates modes. Results demonstrate a measured 5.5x and an estimated 15.3x per-run speedup for Default-scale workloads, and an 84.8x campaign speedup for an eight-county Emission Rates analysis. Although gains vary by workload and hardware configuration, uTECH Turbo-MOVES enables more extensive environmental assessments and transportation policy evaluation.

arXiv (Cornell University)
Vehicle emissions and performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
uTECH Turbo-MOVES: The Intersection of Software Architectural Innovation and Sustainable Mobility Analysis — Alireza Yazdiani, Cafer Avcı, et al. · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS