A Simulation Platform for Autonomous Heavy-duty Vehicle Platooning in Mixed Traffic

Autonomous platooning of heavy-duty vehicles (HDV) using cooperative adaptive cruise control (CACC) on highway is a promising method for improving transport and energy efficiency. This approach has recently attracted extensive attention from vehicle industry, transport authority and researchers. One essential hypothesis for implementing HDV platooning is that it will bring about benefits to overall traffic system, such as expansion of road capacity, energy saving and emission reduction etc. However, little research effort has been found to quantify the impacts of HDV platoons on real traffic. Based on an existing microscopic traffic simulation environment, this paper initializes a simulation platform with detailed modeling of HDV platoon and operation enabled by CACC. The fuel consumption is also estimated for each simulation step using an analytical fuel consumption model. This platform makes it possible to quantify the impacts of HDV platoons in mixed traffic in terms of traffic flow characteristics, highway capacity, fuel efficiency and safety by microscopic simulation. In the computational experiment, the impacts of HDV platoon with different penetration rates are investigated. The simulation results show that autonomous platooning of HDVs, especially when the HDV penetration rate is higher than 40%, can gain substantial fuel saving while preserving generally positive impacts on overall traffic.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 16p
  • Monograph Title: TRB 94th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01555188
  • Record Type: Publication
  • Report/Paper Numbers: 15-2769
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 30 2014 12:57PM