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MOVES-Matrix for high-performance on-road energy and running emission rate modeling applications
Haobing Liu1, Randall Guensler1, Hongyu Lu1
1School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
Journal of the Air & Waste Management Association (1995)
|July 11, 2019
Summary
The MOVES-Matrix system significantly accelerates vehicle emission modeling by processing data 200 times faster than the original MOVES model. This new system enables efficient analysis of transportation
Area of Science:
- Environmental science and engineering
- Transportation systems analysis
- Computational modeling
Background:
- The U.S. Environmental Protection Agency's (U.S. EPA) Motor Vehicle Emission Simulator (MOVES) model is crucial for estimating emissions from mobile sources.
- Assessing the environmental impact of transportation strategies requires coupling detailed vehicle activity data with MOVES emission rates.
- The complexity and slow performance of MOVES hinder the analysis of large-scale, dynamic transportation networks.
Purpose of the Study:
- To develop a more efficient system for estimating vehicle emissions, addressing the limitations of the existing MOVES model.
- To create a Large Matrix of MOVES outputs that can be queried rapidly for various transportation and environmental analyses.
- To enable near-real-time evaluation of emissions changes in dynamic transportation systems.
Main Methods:
- Developed the MOVES-Matrix system by executing the MOVES model 146,853 times on a high-performance computing cluster.
- Generated over 90 billion emission rates to populate a Large Matrix for a single area, fuel regime, and inspection/maintenance program.
- Validated the MOVES-Matrix system by comparing its results against the standard MOVES model, confirming identical emission outputs.
Main Results:
- The MOVES-Matrix system can conduct emissions modeling 200 times faster than the original MOVES model.
- The system generates identical emission results to MOVES, ensuring validity for regulatory analysis.
- The resulting matrix facilitates linking emission rates to big data projects and evaluating dynamic transportation system emissions.
Conclusions:
- MOVES-Matrix offers a significantly faster and efficient alternative for regulatory emission modeling and air quality analysis in the U.S.
- The system is suitable for analyzing large, regional transportation networks and dynamic systems.
- Future work includes developing MOVES-Matrix version 2 to incorporate off-network modeling, starts, hoteling, and evaporative emissions.
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