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.
Highlights
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. is 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
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. e 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%. is study is meaningful in that it explores traffic flow performance on mobility and safety in the process of platoon formation. e outcomes of this study are expected to be utilized as fundamentals to support the novel traffic operation strategy in platooning environments
Summary
Step 1 includes the proposed platoon formation algorithm developed in this study. E COM interface collects the trajectory data of each individual vehicle at each time step and controls the speed of the individual trucks in the platoon according to the platoon formation algorithm. Step 3 identifies the mobility and safety performance from the aspect of the overall performance of the network and the performance on the truck platoon designation lane using individual vehicle trajectory data derived from the simulation. Ree important parameters including platoon size, intraplatoon spacing, and interplatoon spacing need to be determined for the truck platooning. E proposed algorithm consists of three components, which are the truck sequencing in the platoon (Part 1), the determination of platoon completion (Part 2), and the speed control algorithm (Part 3).
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