Fuel losses and assessment of air quality at selected traffic intersections in Delhi.
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| Title: | Fuel losses and assessment of air quality at selected traffic intersections in Delhi. |
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| Authors: | Sharma, Niraj1, Advani, Mukti1 mukti7@gmail.com, Dhyani, Rajni1 |
| Source: | Current Science (00113891). 1/25/2026, Vol. 130 Issue 2, p136-147. 12p. |
| Subjects: | Air quality, Road interchanges & intersections, Capital cities, Motor vehicle driving, Energy consumption, Air pollutants, Transportation industry |
| Geographic Terms: | New Delhi (India) |
| Abstract: | The rapid growth in the road transport sector has resulted in high consumption of fossil fuels and increased air pollution levels in urban areas, often exceeding the prescribed air quality standards set by various regulatory agencies. The direct effect of vehicle idling is fuel loss, along with related emissions that contribute to heightened air pollution levels. The CAL3QHC model, a Gaussian-based air quality dispersion model approved by the United States Environmental Protection Agency, is specifically developed for predicting air quality at traffic intersections. This model is capable of predicting pollutant concentrations generated from long queues of vehicles waiting at signals (idling condition). The present study focuses on the performance evaluation of the CAL3QHC model in Delhi by utilising local traffic, meteorological, and morphological data. The methodology adopted for estimating signalised intersections, including queue parameters such as signal timing, red signal duration, approach traffic volume, and saturation flow rate, is also discussed. The CAL3QHC model has been employed to predict CO and PM2.5 concentrations at three selected signalised traffic intersections. Simultaneously, 48 h traffic volume counts were conducted at these intersections on weekends (Sunday) and weekdays (Monday) during both summer and winter seasons. [ABSTRACT FROM AUTHOR] |
| Copyright of Current Science (00113891) is the property of Indian Academy of Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 191439791 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Fuel losses and assessment of air quality at selected traffic intersections in Delhi. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sharma%2C+Niraj%22">Sharma, Niraj</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Advani%2C+Mukti%22">Advani, Mukti</searchLink><relatesTo>1</relatesTo><i> mukti7@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Dhyani%2C+Rajni%22">Dhyani, Rajni</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Current+Science+%2800113891%29%22">Current Science (00113891)</searchLink>. 1/25/2026, Vol. 130 Issue 2, p136-147. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Air+quality%22">Air quality</searchLink><br /><searchLink fieldCode="DE" term="%22Road+interchanges+%26+intersections%22">Road interchanges & intersections</searchLink><br /><searchLink fieldCode="DE" term="%22Capital+cities%22">Capital cities</searchLink><br /><searchLink fieldCode="DE" term="%22Motor+vehicle+driving%22">Motor vehicle driving</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Air+pollutants%22">Air pollutants</searchLink><br /><searchLink fieldCode="DE" term="%22Transportation+industry%22">Transportation industry</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22New+Delhi+%28India%29%22">New Delhi (India)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The rapid growth in the road transport sector has resulted in high consumption of fossil fuels and increased air pollution levels in urban areas, often exceeding the prescribed air quality standards set by various regulatory agencies. The direct effect of vehicle idling is fuel loss, along with related emissions that contribute to heightened air pollution levels. The CAL3QHC model, a Gaussian-based air quality dispersion model approved by the United States Environmental Protection Agency, is specifically developed for predicting air quality at traffic intersections. This model is capable of predicting pollutant concentrations generated from long queues of vehicles waiting at signals (idling condition). The present study focuses on the performance evaluation of the CAL3QHC model in Delhi by utilising local traffic, meteorological, and morphological data. The methodology adopted for estimating signalised intersections, including queue parameters such as signal timing, red signal duration, approach traffic volume, and saturation flow rate, is also discussed. The CAL3QHC model has been employed to predict CO and PM2.5 concentrations at three selected signalised traffic intersections. Simultaneously, 48 h traffic volume counts were conducted at these intersections on weekends (Sunday) and weekdays (Monday) during both summer and winter seasons. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Current Science (00113891) is the property of Indian Academy of Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.18520/cs/v130/i2/136-147 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 136 Subjects: – SubjectFull: Air quality Type: general – SubjectFull: Road interchanges & intersections Type: general – SubjectFull: Capital cities Type: general – SubjectFull: Motor vehicle driving Type: general – SubjectFull: Energy consumption Type: general – SubjectFull: Air pollutants Type: general – SubjectFull: Transportation industry Type: general – SubjectFull: New Delhi (India) Type: general Titles: – TitleFull: Fuel losses and assessment of air quality at selected traffic intersections in Delhi. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sharma, Niraj – PersonEntity: Name: NameFull: Advani, Mukti – PersonEntity: Name: NameFull: Dhyani, Rajni IsPartOfRelationships: – BibEntity: Dates: – D: 25 M: 01 Text: 1/25/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00113891 Numbering: – Type: volume Value: 130 – Type: issue Value: 2 Titles: – TitleFull: Current Science (00113891) Type: main |
| ResultId | 1 |