Prioritizing People - Mixed Equilibrium Assignment for AV Based on Occupancy

Details

• Creators:
  Mantri, Sruthi ; Lownes, Nicholas ; Bergman, David
• Corporate Creators:
  University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program
• Subject/TRT Terms:
  Autonomous Vehicles Case Studies Choice Models Decision Making Equilibrium (Systems) Impacts Mobility Optimization Performance Measurement Route Choice Routes And Routing Simulation Stopped Time Delays Traffic Assignment Vehicle Occupancy

  More +
• Publication/ Report Number:
  2020 Project 09;CAMMSE-UNCC-2020-UTC-Project-09
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States;Connecticut
• Edition:
  Final Report
• Corporate Publisher:
  University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education
• Abstract:
  As transportation technology continues to evolve, Autonomous Vehicles (AV) have the potential to disrupt the way we travel and require adjustments to our traditional transportation operations mode choice models. As AV become more widely available and increase in market share, there are predictions that a significant portion of the AV fleet will be owned or utilized by private households. Regular traffic assignment in mixed environment of 1) human-driven vehicles, 2) occupied AVs and 3) unoccupied AVs will most likely result in routing of unoccupied vehicles that will reduce traffic flow for occupied vehicles. This type of routing would not be preferred as travel of occupied vehicles should be prioritized while unoccupied vehicles should take longer less congested routes to reduce their impact on the network. This study proposes a mixed equilibrium traffic assignment methodology to minimize the impacts of the unoccupied AVs on the network. Thus, focusing on high levels of service for occupied vehicles, AV or not, without disproportionally impacting households that will travel in an occupied AV. In this paper, the impacts of unoccupied vehicles are modeled under three different scenarios using the equilibrium route assignment methods for AV route choice and AV owners under both occupied and unoccupied conditions. To conduct this analysis two networks were considered, the Sioux Falls and Eastern Massachusetts networks. The methods devised and results obtained through the modeling and simulation process indicated that a) for the majority of the occupied vehicles there will be a reduction in travel times when compared to regular traffic assignment, b) there were no significant delays for any of the AV owners studied, and c) System is performing is improved, resulting in a reduction in total travel time.
• Format:
  PDF
• Funding:
  69A3551747133
• Collection(s):
  University Transportation Centers US Transportation Collection Autonomous Vehicles
• Main Document Checksum:
  urn:sha-512:d845f4cc4cbd8f76c4e0e5c57126f6730d9e02692bdabe1aa612fcad7a340491a9c6a70ce6d43bbb6c61e26a27ff9763bba767811a6bc25d240a02bb5281b0d0
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/58264/dot_58264_DS1.pdf
• File Type:
  [PDF - 1.12 MB ]