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Impact of Automated Truck Platooning on the Performance of Freeway Mixed Traffic Flow

Authors :
Lee, Seolyoung
Oh, Cheol
Lee, Gunwoo
Source :
Journal of Advanced Transportation. January 28, 2021, Vol. 2021
Publication Year :
2021

Abstract

Vehicle platooning service through wireless communication and automated driving technology has become a reality. Vehicle platooning means that several vehicles travel like a train on the road with a minimum safety distance, which leads to the enhancement of safety, mobility, and energy savings. This study proposed a framework for exploring traffic mobility and safety performance due to the market penetration rate (MPR) of truck platoons based on microscopic traffic simulations. A platoon formation algorithm was developed and run on the VISSIM platform to simulate automated truck maneuvering. As a result of the mobility analysis, it was found that the difference in network mobility performance was not significant up to MPR 80%. Regarding the mobility performance of the truck-designated lane, it was found that the average speed was lower than in other lanes. In the truck-designated lane of the on-ramp section, the average speed was identified to be approximately 33% lower. From the viewpoint of network safety, increasing the MPR of the truck platoon has a positive effect on longitudinal safety but has a negative effect on lateral safety. The safety analysis of the truck-designated lane indicated that the speed difference by lane of MPR 100% is 2.5 times higher than that of MPR 0%. This study is meaningful in that it explores traffic flow performance on mobility and safety in the process of platoon formation. The outcomes of this study are expected to be utilized as fundamentals to support the novel traffic operation strategy in platooning environments.<br />Author(s): Seolyoung Lee [1]; Cheol Oh (corresponding author) [2]; Gunwoo Lee [1] 1. Introduction The development of automated vehicles technology is expected to transform the roads now used as movement [...]

Details

Language :
English
ISSN :
01976729
Volume :
2021
Database :
Gale General OneFile
Journal :
Journal of Advanced Transportation
Publication Type :
Academic Journal
Accession number :
edsgcl.696839202
Full Text :
https://doi.org/10.1155/2021/8888930