Estimation of Origin-Destination Matrix and Identification of User Activities Using Public Transit Smart Card Data

The smart card-based automated fare collection (AFC) system has become the main method for collecting urban bus and rail transit (UBRT) fares in many cities worldwide. Such smart card technologies provide new opportunities for transportation data collection as the transaction data obtained through AFC system contains a significant amount of archived information. At the same time, basic information about card users can be recorded or inferred by the system. These raw data can potentially help estimate public transit Origin-Destination (O-D) matrices and used by transit service providers for analysis of both passenger demand and system performance, including demand analysis, travel behavior analysis, operational management, and public transit planning. The purpose of this project is to develop a systematic approach to illustrating how passenger journey information can be mined from the data derived from the smart card-based automated fare collection (AFC) system. Advanced solution algorithms will be developed for the origin-destination matrix estimation. The analysis of passenger activities will help present passengers’ trip characteristics in a transportation planning aspect. The newly generated origin-destination matrix for the bus network can help the decision makers to plan, design, operate, and manage a more efficient public transit system.

• Supplemental Notes:
  • Contract to a Performing Organization has not yet been awarded.

Language

• English

Project

• Status: Active
• Funding: $90033
• 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:

  Center for Advanced Multimodal Mobility Solutions and Education

  University of North Carolina, Charlotte
  Charlotte, NC  United States  28223
• Principal Investigators:

  Fan, Wei

• Start Date: 20170203
• Expected Completion Date: 20180930
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Algorithms; Bus transit; Data collection; Data mining; Estimation theory; Origin and destination; Planning; Public transit; Smart cards; Travel behavior; Travel demand
• Subject Areas: Data and Information Technology; Operations and Traffic Management; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01625941
• Record Type: Research project
• Source Agency: Center for Advanced Multimodal Mobility Solutions and Education
• Files: UTC, RiP
• Created Date: Feb 14 2017 11:46AM