Development of a machine learning-based sketch planning model for predicting mobile emissions

Development of a machine learning-based sketch planning model for predicting mobile emissions

Metropolitan Planning Organizations (MPOs) are required to measure emissions impacts of transportation plans and programs utilizing an emissions estimator such as MOtor Vehicle Emission Simulator (MOVES) or EMission FACtor (EMFAC) models demanding intensive data and time consumption to run models fo...

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Bibliographic Details
Main Authors: Sanghyeon Ko, Hojun “Daniel” Son, Jinchul Park, Dongwoo Lee
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Transportation Research Interdisciplinary Perspectives
Subjects:
Air quality
Travel demand model
MPO
Machine-Learning
MOVES
Random forest
Online Access:http://www.sciencedirect.com/science/article/pii/S2590198221000865

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http://www.sciencedirect.com/science/article/pii/S2590198221000865

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