Literature DB >> 27253200

Development of operating mode distributions for different types of roadways under different congestion levels for vehicle emission assessment using MOVES.

Yi Qi1, Ameena Padiath1, Qun Zhao1, Lei Yu1,2.   

Abstract

UNLABELLED: 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.

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Year:  2016        PMID: 27253200     DOI: 10.1080/10962247.2016.1194338

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  1 in total

1.  Comparative analysis of the CO2 emissions of expressway and arterial road traffic: A case in Beijing.

Authors:  Ji Zheng; Suocheng Dong; Yingjie Hu; Yu Li
Journal:  PLoS One       Date:  2020-04-14       Impact factor: 3.240

  1 in total

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