The impact of speed post-processing methods on regional mobile emissions estimation |
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| Affiliation: | 1. Department of Civil and Environmental Engineering, One Shields Avenue, University of California, Davis, CA 95616, USA;2. Department of Civil and Environmental Engineering, Northwestern University, Evanston, USA;1. School of Aquatic and Fishery Sciences, University of Washington, Box 355020, Seattle, WA 98195, USA;2. Fishery Resource Analysis and Monitoring Division, Northwest Fisheries Science Center, NOAA, 2725 Montlake Blvd. East, Seattle, WA 98112-2097, USA;3. Science Branch, Pacific Region, Fisheries and Oceans Canada, Pacific Biological Station, Nanaimo, BC, Canada V96 6N7;1. School of Management, Shanghai University, Shang Da Road 99, Shanghai, China;2. Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hung Hom, Hong Kong;1. Key Laboratory of Measurement and Control of CSE, Ministry of Education, School of Automation, Southeast University, Nanjing, China;2. Department of Electrical & Computer Engineering, National University of Singapore, Singapore;3. National Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China |
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| Abstract: | Average roadway segment travel speeds play an important role in estimating stabilized running vehicle emissions. Currently stabilized, or hot, running emissions are computed based on speeds produced during the travel demand modeling process. Speed data from the travel forecasting models are widely recognized as being insufficiently accurate for air quality purposes. Frequently post-processing techniques are seen as the most cost-effective means of improving the accuracy of the speed estimates. Using the Sacramento Metropolitan area, this paper focuses on the impacts of different speed post-processors on regional peak period emissions inventories. The results indicated that most post-processed speeds produce consistently and significantly higher running emissions, particularly in locations with heavy traffic. The observed differences in emissions between different types of post-processed speeds vary with congestion level, pollutant type and the underlying approach encapsulated in the speed post-processor calculations. The Sacramento case study suggests that the post-processor used to develop speeds for the purposes of calculating on-road emissions inventories can significantly influence the emissions inventories. |
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