利用微观模拟技术研究勒克瑙城市道路匝道上慢速行驶的电动汽车对环境的影响。

IF 2.3 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Environmental Health Insights Pub Date : 2024-03-15 eCollection Date: 2024-01-01 DOI:10.1177/11786302241231706
Mohd Sadat, Syed Aqeel Ahmad, Mehmet Ali Silgu, Shrish Bajpai, Digvijay Pandey
{"title":"利用微观模拟技术研究勒克瑙城市道路匝道上慢速行驶的电动汽车对环境的影响。","authors":"Mohd Sadat, Syed Aqeel Ahmad, Mehmet Ali Silgu, Shrish Bajpai, Digvijay Pandey","doi":"10.1177/11786302241231706","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The adoption of electric vehicles for mobility is seen as a major step towards the conservation of the environment. In India, slow-moving Electric 3-Wheelers (E3Ws) have been adopted for last-mile connectivity. The present study investigated the impact of slow-moving electric 3-wheelers on the environment in terms of emissions and traffic performance in mixed conditions.</p><p><strong>Methods: </strong>Field traffic data from a section of road in the city of Lucknow was collected and used for the calibration of the traffic model. A total of 6 scenarios were tested using traffic modelling in the open-source microsimulation software SUMO. Krauss model was used to model mixed traffic and HBEFA 4 was used to calculate the emissions of fuel-driven vehicles. In each scenario, the volume of fuel-driven vehicles was kept constant and the volume of E3Ws was varied. For the last 2 scenarios, E3Ws were replaced with modified Electric 3-wheelers (ME3Ws) and Electric Buses.</p><p><strong>Results: </strong>Initial findings showed that the average emission decreased as the number of slowly moving electric vehicles increased, but the average flow and harmonic mean speed decreased by 49.8% and 28.8%, respectively, despite keeping the original composition of fuel-driven vehicles the same in every scenario. Further analysis of scenarios revealed a strong correlation (<math><mrow><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mn>0</mn><mo>.</mo><mn>88</mn></mrow></math>) between the reduction in the number of vehicles and the reduction in emissions like Carbon Dioxide (<math><mrow><msub><mrow><mi>CO</mi></mrow><mn>2</mn></msub></mrow></math>), which is responsible for global warming. Scenarios in which faster electric vehicles and electric buses replace slow-moving E3Ws also demonstrate emission reduction without noticeably affecting traffic performance parameters.</p><p><strong>Conclusion: </strong>The study shows that the environmental benefits of E3Ws in a limited section of Lucknow road are offset by their low-speed capability. Hypothetical scenarios wherein Modified E3Ws and Electric Buses were introduced reported benefits both in terms of emissions and traffic performance.</p>","PeriodicalId":11827,"journal":{"name":"Environmental Health Insights","volume":"18 ","pages":"11786302241231706"},"PeriodicalIF":2.3000,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10943754/pdf/","citationCount":"0","resultStr":"{\"title\":\"A Study on Environmental Impact of Slow Moving Electric Vehicles Using Microsimulation on Lucknow Urban Road With an On-Ramp.\",\"authors\":\"Mohd Sadat, Syed Aqeel Ahmad, Mehmet Ali Silgu, Shrish Bajpai, Digvijay Pandey\",\"doi\":\"10.1177/11786302241231706\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The adoption of electric vehicles for mobility is seen as a major step towards the conservation of the environment. In India, slow-moving Electric 3-Wheelers (E3Ws) have been adopted for last-mile connectivity. The present study investigated the impact of slow-moving electric 3-wheelers on the environment in terms of emissions and traffic performance in mixed conditions.</p><p><strong>Methods: </strong>Field traffic data from a section of road in the city of Lucknow was collected and used for the calibration of the traffic model. A total of 6 scenarios were tested using traffic modelling in the open-source microsimulation software SUMO. Krauss model was used to model mixed traffic and HBEFA 4 was used to calculate the emissions of fuel-driven vehicles. In each scenario, the volume of fuel-driven vehicles was kept constant and the volume of E3Ws was varied. For the last 2 scenarios, E3Ws were replaced with modified Electric 3-wheelers (ME3Ws) and Electric Buses.</p><p><strong>Results: </strong>Initial findings showed that the average emission decreased as the number of slowly moving electric vehicles increased, but the average flow and harmonic mean speed decreased by 49.8% and 28.8%, respectively, despite keeping the original composition of fuel-driven vehicles the same in every scenario. Further analysis of scenarios revealed a strong correlation (<math><mrow><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mn>0</mn><mo>.</mo><mn>88</mn></mrow></math>) between the reduction in the number of vehicles and the reduction in emissions like Carbon Dioxide (<math><mrow><msub><mrow><mi>CO</mi></mrow><mn>2</mn></msub></mrow></math>), which is responsible for global warming. Scenarios in which faster electric vehicles and electric buses replace slow-moving E3Ws also demonstrate emission reduction without noticeably affecting traffic performance parameters.</p><p><strong>Conclusion: </strong>The study shows that the environmental benefits of E3Ws in a limited section of Lucknow road are offset by their low-speed capability. Hypothetical scenarios wherein Modified E3Ws and Electric Buses were introduced reported benefits both in terms of emissions and traffic performance.</p>\",\"PeriodicalId\":11827,\"journal\":{\"name\":\"Environmental Health Insights\",\"volume\":\"18 \",\"pages\":\"11786302241231706\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10943754/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Health Insights\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/11786302241231706\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Health Insights","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/11786302241231706","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

摘要

背景:采用电动汽车出行被视为保护环境的重要一步。在印度,慢速电动三轮车(E3Ws)已被用于最后一英里的连接。本研究调查了慢速电动三轮车在混合条件下的排放和交通性能对环境的影响:方法:收集勒克瑙市某路段的实地交通数据,用于校准交通模型。在开源微观模拟软件 SUMO 中使用交通模型对总共 6 种情况进行了测试。克劳斯模型用于模拟混合交通,HBEFA 4 用于计算燃油驱动车辆的排放量。在每种情况下,燃油驱动车辆的数量保持不变,而 E3W 的数量则有所变化。在最后两种情况下,E3W 被改装的电动三轮车(ME3W)和电动巴士取代:初步研究结果表明,随着慢速行驶的电动汽车数量的增加,平均排放量下降,但平均流量和谐波平均速度分别下降了 49.8% 和 28.8%,尽管在每种情况下燃油驱动车辆的原始构成都保持不变。对各种方案的进一步分析表明,车辆数量的减少与造成全球变暖的二氧化碳(CO2)排放量的减少之间存在很强的相关性(R2=0.88)。以速度更快的电动汽车和电动公交车取代慢速行驶的 E3Ws 的方案也显示出减排效果,且不会明显影响交通性能参数:研究表明,在勒克瑙公路的有限路段,E3Ws 的环境效益被其低速行驶能力所抵消。在引入改良型 E3W 和电动巴士的假设情景中,排放和交通性能均有所改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study on Environmental Impact of Slow Moving Electric Vehicles Using Microsimulation on Lucknow Urban Road With an On-Ramp.

Background: The adoption of electric vehicles for mobility is seen as a major step towards the conservation of the environment. In India, slow-moving Electric 3-Wheelers (E3Ws) have been adopted for last-mile connectivity. The present study investigated the impact of slow-moving electric 3-wheelers on the environment in terms of emissions and traffic performance in mixed conditions.

Methods: Field traffic data from a section of road in the city of Lucknow was collected and used for the calibration of the traffic model. A total of 6 scenarios were tested using traffic modelling in the open-source microsimulation software SUMO. Krauss model was used to model mixed traffic and HBEFA 4 was used to calculate the emissions of fuel-driven vehicles. In each scenario, the volume of fuel-driven vehicles was kept constant and the volume of E3Ws was varied. For the last 2 scenarios, E3Ws were replaced with modified Electric 3-wheelers (ME3Ws) and Electric Buses.

Results: Initial findings showed that the average emission decreased as the number of slowly moving electric vehicles increased, but the average flow and harmonic mean speed decreased by 49.8% and 28.8%, respectively, despite keeping the original composition of fuel-driven vehicles the same in every scenario. Further analysis of scenarios revealed a strong correlation (R2=0.88) between the reduction in the number of vehicles and the reduction in emissions like Carbon Dioxide (CO2), which is responsible for global warming. Scenarios in which faster electric vehicles and electric buses replace slow-moving E3Ws also demonstrate emission reduction without noticeably affecting traffic performance parameters.

Conclusion: The study shows that the environmental benefits of E3Ws in a limited section of Lucknow road are offset by their low-speed capability. Hypothetical scenarios wherein Modified E3Ws and Electric Buses were introduced reported benefits both in terms of emissions and traffic performance.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Environmental Health Insights
Environmental Health Insights PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
3.20
自引率
22.20%
发文量
97
审稿时长
8 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信