Impact of Signalized Intersections on $CO_2$ and $NO_x$ Emissions of Heavy Duty Vehicles

TL;DR

This study measures how signalized intersections affect $CO_2$ and $NO_x$ emissions from heavy-duty vehicles, highlighting traffic control as a key factor in emission reduction strategies.

Contribution

It provides empirical data on emissions at intersections and demonstrates the potential emission reductions from avoiding stops, emphasizing traffic management's role in pollution control.

Findings

Avoiding stops reduces $CO_2$ emissions by 0.32 kg

Avoiding stops reduces $NO_x$ emissions by 1.8 g

Traffic control can significantly lower vehicle emissions

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 the governments clearly involve, all the stakeholders in the logistics sector, from road authorities and logistic operators to truck manufacturers. 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 measured the $CO_2$ and $NO_x$ emissions in heavy-duty vehicles while traversing signalized intersections and we examined the differences between various scenarios. We found that avoiding a stop can reduce $CO_2$ and $NO_x$ emissions on 0.32 kg and 1.8 g, respectively. These results put traffic control in the main scene as a yet unexplored dimension to control pollutant emissions, enabling the authorities to more accurately estimate cost-benefit plans for traffic control system investments.