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Accounting for acceleration and deceleration emissions in intersection dispersion modeling using MOVES and CAL3QHC
Mark Ritner1, Kurt K Westerlund, C David Cooper
1Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, Florida 32816, USA.
This study enhances near-road pollution modeling by incorporating vehicle activity data from the MOVES model into CAL3QHC. Dividing links by speed change improves CO prediction precision at intersections.
Area of Science:
- Environmental Science
- Atmospheric Chemistry
- Transportation Engineering
Background:
- Traditional near-road dispersion modeling uses simplified vehicle behavior (idle/cruise).
- The MOVES model enables second-by-second emission factors based on modal activity (acceleration, deceleration, idle, cruise).
Purpose of the Study:
- To investigate the impact of incorporating modal emissions data into near-road dispersion modeling.
- To determine optimal methods for representing acceleration and deceleration in dispersion models.
Main Methods:
- Utilized MOVES emission factors for vehicular modal activities.
- Adapted CAL3QHC input files to include unique modal links.
- Examined dividing acceleration/deceleration segments into multiple sublinks for higher resolution.
Main Results:
- The proposed method significantly increases CO prediction precision at intersections (up to 400% higher than cruise-and-idle).
- Acceleration emission factors are substantially larger than cruise emission factors.
- The number of sublinks used impacts predicted concentrations, with potential for erratic EFs from MOVES with excessive subdivision.
Conclusions:
- Incorporating modal vehicle activity improves the precision of near-road dispersion modeling.
- A method of dividing links by speed change increments is proposed for better representation of acceleration/deceleration.
- Further research is needed to validate accuracy with real-world monitored data.
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