Author:
Albdairi Mustafa,Ghazi Alaan
Abstract
This paper presents a study on the performance and environmental impacts of aggressive heavy goods vehicle (HGV) platoons in comparison to human-driven HGVs at a random signalized intersection under varying traffic volumes between 500 and 1500 HGVs. A total of 12 scenarios have been developed, 6 for each of the vehicular behaviors, to quantify the emissions (CO, NOX, VOC) and fuel consumption, travel time, and delays. The analysis is implemented using the PTV VISSIM microscopic traffic flow model. Realization that the majority of the differences in the performance of the two vehicular controls seems to be different as the traffic volume increases was the realization. In most cases, aggressive HGV platoons were found to have lower emissions, in comparison to fuel consumption, while the flow and delay of aggressive HGV platoons were comparatively better against the case with human-driven HGVs. The results have thus provided new avenues for the incorporation of aggressive HGV platoons into urban traffic systems, more so in scenarios that involve a high level of traffic at intersections, as a potentially effective tool for augmenting the efficiency of an intersection and cutting down its environmental impacts. The present study strongly recommends the advancement of traffic management strategies that can capture the dynamics between the two heterogenous traffic flows induced by autonomous and semi-autonomous vehicle technologies.
Reference18 articles.
1. P. Greening, M. Piecyk, and A. C. McKinnon, An assessment of the potential for demand-side fuel savings in the Heavy Goods Vehicle (HGV) sector. University of Cambridge, Department of Engineering, 2015.
2. S. Hadavi, S. Verlinde, W. Verbeke, C. Macharis, and T. Guns, "Monitoring urban- freight transport based on GPS trajectories of heavy-goods vehicles," IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 10, pp. 3747-3758, 2018.
3. A. Velazquez Abad, "Selection of low carbon technologies for heavy goods vehicles," University of Southampton, 2016.
4. M. Eom and B.-I. Kim, "The traffic signal control problem for intersections: a review," European transport research review, vol. 12, pp. 1-20, 2020.
5. P. Fernandes, M. Coelho, and N. Rouphail, "Assessing the impact of closely-spaced intersections on traffic operations and pollutant emissions on a corridor level," Transportation Research Part D: Transport and Environment, vol. 54, pp. 304-320, 2017.
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