Exhaust Emission Assessment with Energy Structural Evolution in Transportation Network
Electric vehicles have become a ubiquitous form of transportation in the transition period from the petroleum era to the electricity era. The development of electric vehicles is of great interest to researchers, policy-makers, consumers, and industries. However, the dynamic environmental impact asse...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2022/6368304 |
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| _version_ | 1832558327538647040 |
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| author | Hongzhi Lin |
| author_facet | Hongzhi Lin |
| author_sort | Hongzhi Lin |
| collection | DOAJ |
| description | Electric vehicles have become a ubiquitous form of transportation in the transition period from the petroleum era to the electricity era. The development of electric vehicles is of great interest to researchers, policy-makers, consumers, and industries. However, the dynamic environmental impact assessment along with energy structural evolution in transportation network is still wondering as the vehicular exhaust emissions are highly dependent on their market shares and working conditions. In this paper, a Markov chain model is formulated to represent the transition process between traditional internal combustion engine vehicles (ICEVs), plug-in electric vehicles (PEVs), and hybrid electric vehicles (HEVs), with which the dynamic market penetration level of three vehicle types can be predicted. Therefore, the amount of pollutants can be figured out based on their market penetration level and network traffic conditions. For a given transportation network, system equilibrium is proposed to calculate network traffic conditions. It is a four-step sequential model with feedback which can be solved by method of successive averages (MSA) with decreasing weights effectively. A simulation experiment using Nguyen–Dupuis network demonstrates the effect of the proposed method. It is found that the proposed method is effective to assess the dynamics of environmental impacts as the penetration of electric vehicles into transportation system. The method is particularly operable for policy designs stimulating the development of electric vehicles. |
| format | Article |
| id | doaj-art-8ace6e4d8919401db6f2b2dc58b8b90d |
| institution | Kabale University |
| issn | 1607-887X |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-8ace6e4d8919401db6f2b2dc58b8b90d2025-02-03T01:32:36ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/6368304Exhaust Emission Assessment with Energy Structural Evolution in Transportation NetworkHongzhi Lin0School of Economics and ManagementElectric vehicles have become a ubiquitous form of transportation in the transition period from the petroleum era to the electricity era. The development of electric vehicles is of great interest to researchers, policy-makers, consumers, and industries. However, the dynamic environmental impact assessment along with energy structural evolution in transportation network is still wondering as the vehicular exhaust emissions are highly dependent on their market shares and working conditions. In this paper, a Markov chain model is formulated to represent the transition process between traditional internal combustion engine vehicles (ICEVs), plug-in electric vehicles (PEVs), and hybrid electric vehicles (HEVs), with which the dynamic market penetration level of three vehicle types can be predicted. Therefore, the amount of pollutants can be figured out based on their market penetration level and network traffic conditions. For a given transportation network, system equilibrium is proposed to calculate network traffic conditions. It is a four-step sequential model with feedback which can be solved by method of successive averages (MSA) with decreasing weights effectively. A simulation experiment using Nguyen–Dupuis network demonstrates the effect of the proposed method. It is found that the proposed method is effective to assess the dynamics of environmental impacts as the penetration of electric vehicles into transportation system. The method is particularly operable for policy designs stimulating the development of electric vehicles.http://dx.doi.org/10.1155/2022/6368304 |
| spellingShingle | Hongzhi Lin Exhaust Emission Assessment with Energy Structural Evolution in Transportation Network Discrete Dynamics in Nature and Society |
| title | Exhaust Emission Assessment with Energy Structural Evolution in Transportation Network |
| title_full | Exhaust Emission Assessment with Energy Structural Evolution in Transportation Network |
| title_fullStr | Exhaust Emission Assessment with Energy Structural Evolution in Transportation Network |
| title_full_unstemmed | Exhaust Emission Assessment with Energy Structural Evolution in Transportation Network |
| title_short | Exhaust Emission Assessment with Energy Structural Evolution in Transportation Network |
| title_sort | exhaust emission assessment with energy structural evolution in transportation network |
| url | http://dx.doi.org/10.1155/2022/6368304 |
| work_keys_str_mv | AT hongzhilin exhaustemissionassessmentwithenergystructuralevolutionintransportationnetwork |