Characterizing CO2 and NOx emission of vehicles crossing toll stations in highway

He, Hong-di; Lu, Dan-ni; Zhao, Hong-mei; Peng, Zhong-ren

doi:10.1016/j.trd.2023.104024

Transportation Research Part D: Transport and Environment

2024

DOI: 10.1016/j.trd.2023.104024

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Characterizing CO2 and NOx emission of vehicles crossing toll stations in highway

Hong-di He,

Dan-ni Lu,

Hong-mei Zhao

et al.

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Cited by 17 publications

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Electric bus fleet transition: assessment approach considering economic and environmental impacts, and its application

Ye,

Huang,

Yang

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Smart Constr. Sustain. Cities

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In our society, global warming is considered one of the most serious problems. According to scientists, the world has been warmed by 3 degrees per year, which will be catastrophic to our world. To reduce CO2 emission, an electric bus is one way to solve the problem. In this article, we use four different models: Multiple Linear Regression (MLR), Autoregressive Integrated Moving Average Model (ARIMA), Ecological Assessment Model, Bus Fleet Replacement Financial Model, and Integer Programming Model to determine the number of carbon emissions, the least money that government need to spend on transitions, and future blueprint; these help to predict the overall benefits for countries turn into absolutely electric bus society. Our research stands from the sustainable point of view; we view better environment as the goal. By applying these models to three different countries: London, and Toronto, and Philadelphia which is our main focus, we find out that the air quality will be increased by reducing different kinds of pollution. Moreover, by constructing a ten-year blueprint, we find out the best way to spend least money and make the environment gradually become better.

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Electric bus fleet transition: assessment approach considering economic and environmental impacts, and its application

Ye,

Huang,

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et al. 2024

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Characterizing CO2 and NOx emission of vehicles crossing toll stations in highway

Cited by 17 publications

References 53 publications

Electric bus fleet transition: assessment approach considering economic and environmental impacts, and its application

Electric bus fleet transition: assessment approach considering economic and environmental impacts, and its application

Carbon emission reduction benefits of ride-hailing vehicle electrification considering energy structure

A deep learning model incorporating frequency domain information for ultra multi-step air pollutant forecasting: A case study of Shanghai

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