Development of the Household Activity Pattern Problem as an Activity-Travel Simulator

Activity-based travel demand models, which have their theoretical foundation explicitly rooted in the accepted notion that travel is derived from daily activities, offer an attractive, but complex, alternative to the conventional four-step forecasting models. Recent implementations of such approaches via microsimulations have shown promise for practical application of this theoretical construct. A one-year study is proposed that develops a framework of an activity-travel microsimulator based on the Household Activity Pattern Problem (HAPP). The structure of the framework is an optimization model that matches both the system and individual household level data. Not only this project would offer the development and related methodological contributions, but also would provide foundations for diverse spectrum of applications such as regional transportation planning and simulations of extreme event, recovery management or adoption of alternative fuel vehicles.

• Record URL:
  http://www.utrc2.org/research/projects/development-of-household-activity-pattern

Language

• English

Project

• Status: Completed
• Funding: $16163.00
• Contract Numbers:

  49997-16-25

• Sponsor Organizations:

  Research and Innovative Technology Administration

  University Transportation Centers Program
  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590

  University Transportation Research Center

  City College of New York
  Marshak Hall, Suite 910, 160 Convent Avenue
  New York, NY  United States  10031
• Project Managers:

  Eickemeyer, Penny

• Performing Organizations:

  State University of New York, Albany

  1400 Washington Avenue
  Albany, NY  United States  12222
• Principal Investigators:

  Kang, Jee

• Start Date: 20140101
• Expected Completion Date: 0
• Actual Completion Date: 20150630
• Source Data: RiP Project 36045

Subject/Index Terms

• TRT Terms: Activity choices; Households; Microsimulation; Optimization; Regional planning; Regional transportation; Traffic forecasting; Travel demand
• Subject Areas: Data and Information Technology; Planning and Forecasting; Transportation (General);

Filing Info

• Accession Number: 01549671
• Record Type: Research project
• Source Agency: University Transportation Research Center
• Contract Numbers: 49997-16-25
• Files: UTC, RIP
• Created Date: Jan 9 2015 1:00AM