LONO Bus Testing-Auburn University

It is extremely important to understand the transit system utilization and rider travel patterns to minimize transit costs and efficiently run the transit system. While the market is not short of stand-alone COTS APC sensors, there are still non-trivial challenges and issues existing both for accurate passenger counting and OD flow estimation. To address these challenges IAI team proposes to develop an integrated multi-sensor passenger detection system for both APC and OD traffic flow estimation. In a nutshell, the system collects APC data from multiple sensors, fuses them to create a better estimate of people in the vehicle, and then uses a WiFi/Bluetooth sensor and surveys to infer OD flows

• Supplemental Notes:
  • USDOT Research Hub DisplayID 157852

Language

• English

Project

• Status: Active
• Sponsor Organizations:

  Federal Transit Administration

  ,    
• Managing Organizations:

  Federal Transit Adminstration

  Office of Research, Demonstration, and Innovation
  Washington, DC  United States  20590
• Project Managers:

  Williams, Terrell

• Start Date: 20190513
• Expected Completion Date: 20230930
• Actual Completion Date: 0
• USDOT Program: Bus Testing

Subject/Index Terms

• TRT Terms: Buses; Data fusion; Origin and destination; Passenger counting; Sensors
• Identifier Terms: Auburn University
• Subject Areas: Data and Information Technology; Passenger Transportation; Public Transportation;

Filing Info

• Accession Number: 01864220
• Record Type: Research project
• Source Agency: Department of Transportation
• Files: RIP, USDOT
• Created Date: Nov 17 2022 11:56AM