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Real-Time Emissions Modeling with Environmental Protection Agency MOVES
- Source :
- Transportation Research Record: Journal of the Transportation Research Board. 2503:60-69
- Publication Year :
- 2015
- Publisher :
- SAGE Publications, 2015.
-
Abstract
- The objective of this study was to develop a framework for real-time emissions modeling to improve ecofriendly intelligent transportation system (ITS) applications. The proposed framework can be utilized for real-time ITS applications, such as ecorouting, and applications for the environment with a real-time information synthesis program. To develop a more efficient framework, a new interface with the motor vehicle emission simulator (MOVES) model was developed to enhance computational performance. In addition, a methodology that used a probe vehicle equipped with onboard equipment was suggested for collecting operating mode distribution through the network to generate input for the MOVES model. Through virtual implementation with a simulation environment developed with the Python scripting language, this study demonstrated that the proposed framework generally worked as designed. The study also investigated the effects of probe vehicle sampling size on estimation accuracy.
- Subjects :
- 050210 logistics & transportation
Engineering
business.industry
Estimation theory
020209 energy
Mechanical Engineering
05 social sciences
Control engineering
02 engineering and technology
Python (programming language)
computer.software_genre
Information synthesis
Sustainable transport
Scripting language
0502 economics and business
0202 electrical engineering, electronic engineering, information engineering
Real-time data
business
Intelligent transportation system
computer
Simulation
Civil and Structural Engineering
computer.programming_language
Subjects
Details
- ISSN :
- 21694052 and 03611981
- Volume :
- 2503
- Database :
- OpenAIRE
- Journal :
- Transportation Research Record: Journal of the Transportation Research Board
- Accession number :
- edsair.doi...........1b0d20242e2564c615c45b28e2e42c7e
- Full Text :
- https://doi.org/10.3141/2503-07