Assessing the Potential of Automated Transit Services and Effective Pedestrian/Bicycle Facilities on Urban Travel Patterns

This project will employ agent-based modeling and activity based transit demand modeling. After identifying ideal and target communities and conducting a preliminary sketch analysis to serve as a basis of comparison, the research will proceed with the modeling effort. The virtual decision makers in software, often called agents, include residents, consumers, government, transport providers, vehicle manufactures, energy providers, and others. By developing these models with population, land use, and transit patterns consistent with actual locations and using reasonable and accepted decision rules consistent with the different classes of agents, they are expecting the sought after collective responses revealed in the temporal demand and use function to be quite consistent with those in actual locations.

• Supplemental Notes:
  • Program Information: Exploratory Advanced Research

Language

• English

Project

• Status: Active
• Sponsor Organizations:

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Performing Organizations:

  University of Michigan, Ann Arbor

  Transportation Research Institute, Behavioral Sciences Group
  2901 Baxter Road
  Ann Arbor, MI  United States  48109-1250
• Start Date: 20130701
• Expected Completion Date: 0
• Actual Completion Date: 20121231
• Source Data: RiP Project 34561

Subject/Index Terms

• TRT Terms: Automation; Bikeways; Decision making; Land use planning; Pedestrians; Travel demand; Travel patterns
• Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01485434
• Record Type: Research project
• Source Agency: Department of Transportation
• Files: RIP
• Created Date: Jul 2 2013 1:01AM