A Vehicle-in-the-Loop (VIL) verification of an all-autonomous intersection control scheme

In this paper, an implementation of a vehicle-in-the-loop (VIL) verification environment is presented tailored to automated intersection traffic management applications. Although the fundamental goal of this implementation is to evaluate the authors' proposed optimal traffic management scheme for autonomous vehicles, the test environment is configurable and reproducible to incorporate most of the real time intersection control methods for verification purposes. In the authors' cyber-physical virtual testing environment, actual test vehicles and intersection control server at the physical layer interact with simulated vehicles in an implemented traffic microsimulation layer. The intersection control server continuously runs a Mixed Integer Linear Program (MILP) that was previously proposed by authors for vehicle arrival scheduling at all-autonomous intersections with no physical traffic lights. In addition to the novel intersection traffic management scheme at the cyber layer, this VIL environment also includes a fuel consumption tracker that is based on the authors' proposed fuel rate estimation methods using the basic vehicle diagnostic data. Using this environment, the mobility efficacy and the fuel consumption reduction potential of the proposed intersection control scheme are compared with two baseline scenarios in VIL experiments.

• Record URL:
  • https://doi.org/10.1016/j.trc.2019.07.027
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0968090X19310745
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
• Supplemental Notes:
  • © 2019 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Fayazi, S Alireza
  • Vahidi, Ardalan
  • Luckow, Andre
• Publication Date: 2019-10

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 193-210
• Serial:
  • Transportation Research Part C: Emerging Technologies
  • Volume: 107
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0968-090X
  • Serial URL: http://www.sciencedirect.com/science/journal/0968090X

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Connected vehicles; Fuel consumption; Hardware in the loop simulation; Intelligent transportation systems; Mixed integer programming; Signalized intersections; Vehicle tests
• Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01717483
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 19 2019 3:07PM