Real-time Information Dissemination for Efficiency in a Robo-taxi System (RIDERS)

The Real-time Information Dissemination for Efficiency in a Robo-taxi System (RIDERS) project addresses the emerging challenges in shared-use mobility, particularly the congestion and efficiency issues posed by ride-hail services like Uber and Lyft, and the rise of autonomous ride-hailing or robo-taxis. It explores how a robo-taxi fleet, equipped with connected and automated vehicles (CAVs), can mitigate traffic congestion and improve safety by collecting and sharing real-time traffic information in urban networks. The project's goal is twofold: first, to enable continuous, widespread traffic data collection and system monitoring without hindering passenger service; and second, to enhance overall transportation system efficiency and safety through informed operational and routing decisions. This interdisciplinary effort involves collaboration between transportation engineering and computer science, with a focus on developing smart infrastructure and connected systems. Using simulation-based experiments and real-world data from New York City, the project aims to devise effective strategies for vehicle repositioning and routing that account for traffic conditions and service quality. The outcomes will contribute to smarter, safer urban transportation, with findings shared through academic publications, presentations, and a dedicated project webpage.

Language

• English

Project

• Status: Active
• Funding: $143000
• Contract Numbers:

  69A3552348301

• Sponsor Organizations:

  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 Massachusetts, Amherst

  Department of Civil and Environmental Engineering
  130 Natural Resources Road
  Amherst, MA  United States  01003
• Performing Organizations:

  University of Connecticut, Storrs

  Connecticut Transportation Institute
  270 Middle Turnpike, Unit 5202
  Storrs, CT  United States  06269-5202
• Principal Investigators:

  Filipovska, Monika

• Start Date: 20240101
• Expected Completion Date: 20241231
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program
• Subprogram: University Transportation Centers

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Data collection; Real time information; Ridesourcing; Routing; Taxicabs; Traffic data; Traffic simulation
• Geographic Terms: New York (New York)
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Passenger Transportation; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01904459
• Record Type: Research project
• Source Agency: New England University Transportation Center
• Contract Numbers: 69A3552348301
• Files: UTC, RIP
• Created Date: Jan 12 2024 10:57AM