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http://dx.doi.org/10.7470/jkst.2018.36.2.067

A Methodology to Establish Operational Strategies for Truck Platoonings on Freeway On-ramp Areas  

LEE, Seolyoung (Transportation and Logistics Engineering, Hanyang University)
OH, Cheol (Transportation and Logistics Engineering, Hanyang University)
Publication Information
Journal of Korean Society of Transportation / v.36, no.2, 2018 , pp. 67-85 More about this Journal
Abstract
Vehicle platooning through wireless communication and automated driving technology has become realized. Platooning is a technique in which several vehicles travel at regular intervals while maintaining a minimum safety distance. Truck platooning is of keen interest because it contributes to preventing truck crashes and reducing vehicle emissions, in addition to the increase in truck flow capacity. However, it should be noted that interactions between vehicle platoons and adjacent manually-driven vehicles (MV) significantly give an impact on the performance of traffic flow. In particular, when vehicles entering from on-ramp attempt to merge into the mainstream of freeway, proper interactions by adjusting platoon size and inter-platoon spacing are required to maximize traffic performance. This study developed a methodology for establishing operational strategies for truck platoonings on freeway on-ramp areas. Average speed and conflict rate were used as measure of effectiveness (MOE) to evaluate operational efficiency and safety. Microscopic traffic simulation experiments using VISSIM were conducted to evaluate the effectiveness of various platooning scenarios. A decision making process for selecting better platoon operations to satisfy operations and safety requirements was proposed. It was revealed that a platoon operating scenario with 50m inter-platoon spacing and the platoon consisting of 6 vehicles outperformed other scenarios. The proposed methodology would effectively support the realization of novel traffic management concepts in the era of automated driving environments.
Keywords
automated vehicle platooning; cooperative automated driving; heavy vehicle; micro traffic simulation; operation strategy;
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Times Cited By KSCI : 5  (Citation Analysis)
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