Impact of Signalized Intersections on CO<sub>2</sub> and NO<sub>x</sub> Emissions of Heavy Duty Vehicles
Pollutant emissions have been a topic of interest in the last decades. Not only environmentalists but also governments are taking rapid action to reduce emissions. As one of the main contributors, the transport sector is being subjected to strict scrutiny to ensure it complies with the short and lon...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/3/1242 |
| _version_ | 1797487932715565056 |
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| author | Nicolás Deschle Ernst Jan van Ark René van Gijlswijk Robbert Janssen |
| author_facet | Nicolás Deschle Ernst Jan van Ark René van Gijlswijk Robbert Janssen |
| author_sort | Nicolás Deschle |
| collection | DOAJ |
| description | Pollutant emissions have been a topic of interest in the last decades. Not only environmentalists but also governments are taking rapid action to reduce emissions. As one of the main contributors, the transport sector is being subjected to strict scrutiny to ensure it complies with the short and long-term regulations. The measures imposed by governments clearly involve all the stakeholders in the logistics sector, from road authorities and logistic operators to truck manufacturers. The improvement of traffic conditions is one of the perspectives in which the reduction of emissions is being addressed. Optimization of traffic flow, avoidance of unnecessary stops, control of the cruise speed, and coordination of trips in an energy-efficient way are necessary steps to remain compliant with the upcoming regulations. In this study, we have estimated the CO<sub>2</sub> and NO<sub>x</sub> emissions in heavy-duty vehicles while traversing signalized intersections, and we examined the differences between various behavioral scenarios. We found a consistent trend indicating that avoiding a stop can potentially reduce CO<sub>2</sub> and NO<sub>x</sub> emissions by up to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.32</mn></mrow></semantics></math></inline-formula><inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">k</mi><mi mathvariant="normal">g</mi></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.8</mn></mrow></semantics></math></inline-formula><inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="normal">g</mi></semantics></math></inline-formula>, respectively. Furthermore, an upper bound for the yearly CO<sub>2</sub> savings is provided for the case of The Netherlands. A reduction of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>3.2</mn><mo>%</mo></mrow></semantics></math></inline-formula> of the total CO<sub>2</sub> emitted by heavy-duty vehicles is estimated. These results put traffic control in the main scene as a yet unexplored dimension to control pollutant emissions, enabling authorities to more accurately estimate cost–benefit plans for traffic control system investments. |
| first_indexed | 2024-03-09T23:54:53Z |
| format | Article |
| id | doaj.art-c1b8dace7cc3412b9dd752dd6a5141da |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T23:54:53Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-c1b8dace7cc3412b9dd752dd6a5141da2023-11-23T16:27:37ZengMDPI AGEnergies1996-10732022-02-01153124210.3390/en15031242Impact of Signalized Intersections on CO<sub>2</sub> and NO<sub>x</sub> Emissions of Heavy Duty VehiclesNicolás Deschle0Ernst Jan van Ark1René van Gijlswijk2Robbert Janssen3Sustainable Urban Mobility and Safety Group, Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek (TNO), 2595 DA The Hague, The NetherlandsSustainable Urban Mobility and Safety Group, Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek (TNO), 2595 DA The Hague, The NetherlandsSustainable Transport and Logistics Group, Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek (TNO), 2595 DA The Hague, The NetherlandsSustainable Transport and Logistics Group, Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek (TNO), 2595 DA The Hague, The NetherlandsPollutant emissions have been a topic of interest in the last decades. Not only environmentalists but also governments are taking rapid action to reduce emissions. As one of the main contributors, the transport sector is being subjected to strict scrutiny to ensure it complies with the short and long-term regulations. The measures imposed by governments clearly involve all the stakeholders in the logistics sector, from road authorities and logistic operators to truck manufacturers. The improvement of traffic conditions is one of the perspectives in which the reduction of emissions is being addressed. Optimization of traffic flow, avoidance of unnecessary stops, control of the cruise speed, and coordination of trips in an energy-efficient way are necessary steps to remain compliant with the upcoming regulations. In this study, we have estimated the CO<sub>2</sub> and NO<sub>x</sub> emissions in heavy-duty vehicles while traversing signalized intersections, and we examined the differences between various behavioral scenarios. We found a consistent trend indicating that avoiding a stop can potentially reduce CO<sub>2</sub> and NO<sub>x</sub> emissions by up to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.32</mn></mrow></semantics></math></inline-formula><inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">k</mi><mi mathvariant="normal">g</mi></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.8</mn></mrow></semantics></math></inline-formula><inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="normal">g</mi></semantics></math></inline-formula>, respectively. Furthermore, an upper bound for the yearly CO<sub>2</sub> savings is provided for the case of The Netherlands. A reduction of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>3.2</mn><mo>%</mo></mrow></semantics></math></inline-formula> of the total CO<sub>2</sub> emitted by heavy-duty vehicles is estimated. These results put traffic control in the main scene as a yet unexplored dimension to control pollutant emissions, enabling authorities to more accurately estimate cost–benefit plans for traffic control system investments.https://www.mdpi.com/1996-1073/15/3/1242sustainable transportemissionsfuel consumptionconnected transportintelligent transport systemsenergy efficiency |
| spellingShingle | Nicolás Deschle Ernst Jan van Ark René van Gijlswijk Robbert Janssen Impact of Signalized Intersections on CO<sub>2</sub> and NO<sub>x</sub> Emissions of Heavy Duty Vehicles Energies sustainable transport emissions fuel consumption connected transport intelligent transport systems energy efficiency |
| title | Impact of Signalized Intersections on CO<sub>2</sub> and NO<sub>x</sub> Emissions of Heavy Duty Vehicles |
| title_full | Impact of Signalized Intersections on CO<sub>2</sub> and NO<sub>x</sub> Emissions of Heavy Duty Vehicles |
| title_fullStr | Impact of Signalized Intersections on CO<sub>2</sub> and NO<sub>x</sub> Emissions of Heavy Duty Vehicles |
| title_full_unstemmed | Impact of Signalized Intersections on CO<sub>2</sub> and NO<sub>x</sub> Emissions of Heavy Duty Vehicles |
| title_short | Impact of Signalized Intersections on CO<sub>2</sub> and NO<sub>x</sub> Emissions of Heavy Duty Vehicles |
| title_sort | impact of signalized intersections on co sub 2 sub and no sub x sub emissions of heavy duty vehicles |
| topic | sustainable transport emissions fuel consumption connected transport intelligent transport systems energy efficiency |
| url | https://www.mdpi.com/1996-1073/15/3/1242 |
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