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.
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
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DbLabel: Engineering Source
An: 191439791
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  Data: Fuel losses and assessment of air quality at selected traffic intersections in Delhi.
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  Data: <searchLink fieldCode="JN" term="%22Current+Science+%2800113891%29%22">Current Science (00113891)</searchLink>. 1/25/2026, Vol. 130 Issue 2, p136-147. 12p.
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  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>
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  Data: <searchLink fieldCode="DE" term="%22New+Delhi+%28India%29%22">New Delhi (India)</searchLink>
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  Label: Abstract
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  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:
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  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:
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      – Type: doi
        Value: 10.18520/cs/v130/i2/136-147
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      – Code: eng
        Text: English
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        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
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      – TitleFull: Fuel losses and assessment of air quality at selected traffic intersections in Delhi.
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            NameFull: Sharma, Niraj
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            NameFull: Advani, Mukti
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            – D: 25
              M: 01
              Text: 1/25/2026
              Type: published
              Y: 2026
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