Transportation System Modeling in the Information Era

In the transportation arena, technology today has afforded individuals with freely available up to date information about opportunities and network conditions. The prevalence of information has changed how people plan and execute their activity-travel agendas. In particular, the advent of Intelligent Transportation Systems (ITS) has altered how people navigate networks and pursue activities. Most ITS applications provide corridor level information and there is a move to provide system wide information. The implementation of a system wide traveler information services requires a comprehensive modeling analysis quantifying the impacts of such services. However, there are very limited modeling tools that accurately capture the cascading impacts of information services on individual activity-travel agendas without compromising on individual behaviors. In the implementations that capture the cascading impacts, scheduling heuristics are implemented to satisfy consistency constraints and do not reflect true rescheduling behaviors. The research proposed in this effort is aimed at exploring travel survey data to characterize dimensions of rescheduling behavior and identify schedule adjustment heuristics. Additionally, the observed behaviors will be implemented in a software prototype of a transportation system modeling tool and applied to the Hartford metropolitan region as a case study.

• Record URL:
  http://utc.mit.edu

Language

• English

Project

• Status: Completed
• Funding: $167681.00
• Contract Numbers:

  DTRT12-G-UTC01

  UCNR24-31

• Sponsor Organizations:

  Research and Innovative Technology Administration

  Department of Transportation
  1200 New Jersey Avneue, SE
  Washington, DC  United States  20590
• Performing Organizations:

  New England University Transportation Center

  Massachusetts Institute of Technology
  77 Massachusetts Avenue, Room 40-279
  Cambridge, MA  United States  01239
• Start Date: 20120101
• Expected Completion Date: 0
• Actual Completion Date: 20160131
• Source Data: RiP Project 33392

Subject/Index Terms

• TRT Terms: Intelligent transportation systems; Real time information; Technological innovations; Travel surveys; Traveler information and communication systems
• Geographic Terms: Hartford (Connecticut)
• Subject Areas: Highways; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01489780
• Record Type: Research project
• Source Agency: New England University Transportation Center
• Contract Numbers: DTRT12-G-UTC01, UCNR24-31
• Files: UTC, RIP
• Created Date: Aug 15 2013 1:01AM