NDLI: Impact of Signalized Intersections on $CO_{2}$ and $NO_{x}$ Emissions of Heavy Duty Vehicles

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Impact of Signalized Intersections on $CO_{2}$ and $NO_{x}$ Emissions of Heavy Duty Vehicles

Content Provider	MDPI
Author	Deschle, Nicolás van Ark, Ernst Jan van Gijlswijk, René Janssen, Robbert
Copyright Year	2022
Abstract	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 CO₂ and NO_x 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 CO₂ and NO_x emissions by up to $0.32$ $k g$ and $1.8$ $g$ , respectively. Furthermore, an upper bound for the yearly CO₂ savings is provided for the case of The Netherlands. A reduction of $3.2 %$ of the total CO₂ 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.
Starting Page	1242
e-ISSN	19961073
DOI	10.3390/en15031242
Journal	Energies
Issue Number	3
Volume Number	15
Language	English
Publisher	MDPI
Publisher Date	2022-02-08
Access Restriction	Open
Subject Keyword	Energies Transportation Science and Technology Sustainable Transport Emissions Fuel Consumption Connected Transport Intelligent Transport Systems Energy Efficiency
Content Type	Text
Resource Type	Article

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