Development of operating mode distributions for different types of roadways under different congestion levels for vehicle emission assessment using MOVES
Document Type
Article
Publication Date
10-2-2016
Abstract
The Motor Vehicle Emission Simulator (MOVES) quantifies emissions as a function of vehicle modal activities. Hence, the vehicle operating mode distribution is the most vital input for running MOVES at the project level. The preparation of operating mode distributions requires significant efforts with respect to data collection and processing. This study is to develop operating mode distributions for both freeway and arterial facilities under different traffic conditions. For this purpose, in this study, we (1) collected/processed geographic information system (GIS) data, (2) developed a model of CO2 emissions and congestion from observations, (3) implemented the model to evaluate potential emission changes from a hypothetical roadway accident scenario. This study presents a framework by which practitioners can assess emission levels in the development of different strategies for traffic management and congestion mitigation. Implications: This paper prepared the primary input, that is, the operating mode ID distribution, required for running MOVES and developed models for estimating emissions for different types of roadways under different congestion levels. The results of this study will provide transportation planners or environmental analysts with the methods for qualitatively assessing the air quality impacts of different transportation operation and demand management strategies.
Recommended Citation
Qi, Yi; Padiath, Ameena; Zhao, Qun; and Yu, Lei, "Development of operating mode distributions for different types of roadways under different congestion levels for vehicle emission assessment using MOVES" (2016). Faculty Publications. 221.
https://digitalscholarship.tsu.edu/facpubs/221