Impact of Autonomous Vehicles on Household Activity and Travel Scheduling: An Integrated Dynamic Network Modeling Approach

Autonomous vehicles (AVs) have caught increasing attention from researchers, manufacturers and transportation experts. When autonomous vehicles become available to the public, they are expected to dramatically alter the transportation system as we know it. However, how does the road network react to this change, what will the network performance be, what will be the impact on traveler behavior and mode choice? This study proposes an activity-based modeling and traffic assignment (ABM-DTA) integration framework with a personal owned autonomous vehicle (POAV) optimizer. The proposed framework is applied to an integrated transportation and transit network for estimating the performance of the solution to the POAV optimization problem and evaluating POAV’s impact on the whole transportation system. Simulation results show that the adoption of POAV can reduce the vehicle ownership by 26% but causes the VMT to increase up to 27% and leads to server congestion. Middle to large size households are more likely to use ridesharing among household members to reduce the VMT and the generalized travel cost.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.
  • Corporate Authors:

    Transportation Research Board

  • Authors:
  • Conference:
  • Date: 2019


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 9p

Subject/Index Terms

Filing Info

  • Accession Number: 01698271
  • Record Type: Publication
  • Report/Paper Numbers: 19-05653
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:50AM