Development of Continuous Time, Temporally Constrained and Behaviorally Consistent Tour Pattern Generation System for Modeling the Impacts of Autonomous Vehicle Future

Autonomous vehicle (AV) technologies and solutions have been receiving increasing attention in both academia and industry. While the potential for transformation is undisputed, the specific impacts on travel behavior of individuals and households is less understood. In the proposed research, a new framework will be developed to simultaneously model the tour and stop making decisions while addressing three main limitations of existing tour-based activity-based modeling (TABM) frameworks, namely, representing time as a continuous entity, accommodating the temporal constraints within which an individual operates when generating tours and stops, and acknowledging the interrelationships across different tour- and stop-level decisions. This framework will be implemented into an existing TABM implementation to enhance the activity pattern generation. Further, the enhanced TABM will be applied and compared with existing TABM to demonstrate feasibility and applicability. Additionally, the TABM model system will be applied to model the direct and indirect travel behavior impacts, resulting from different configurations of AV futures, of San Francisco County residents.

Language

• English

Project

• Status: Active
• Funding: $90268
• Sponsor Organizations:

  Center for Advanced Multimodal Mobility Solutions and Education

  University of North Carolina, Charlotte
  Charlotte, NC  United States  28223

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  University of North Carolina, Charlotte

  Department of Civil and Environmental Engineering
  9201 University City Boulevard
  Charlotte, NC  United States  28223-0001
• Project Managers:

  Fan, Wei

• Performing Organizations:

  University of Connecticut, Storrs

  Storrs, CT  United States  06268-5202
• Principal Investigators:

  Konduri, Karthik

• Start Date: 20171001
• Expected Completion Date: 20190930
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Activity choices; Households; Impacts; Intelligent vehicles; Time; Travel behavior; Travel demand
• Geographic Terms: San Francisco (California)
• Subject Areas: Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01652822
• Record Type: Research project
• Source Agency: Center for Advanced Multimodal Mobility Solutions and Education
• Files: UTC, RiP
• Created Date: Dec 3 2017 10:29AM