Smartphone-Based Incentive Framework for Dynamic Network-Level Traffic Congestion Management (Project H3)

By leveraging advances in smartphone-based personalization, big data availability for traffic, and network-level integration through information-based connectivity, this study proposes to develop new types of tools to manage congestion in real-time in traffic networks, especially during peak period commutes and under debilitating incidents. The study seeks to develop a smartphone-based framework to develop real-time incentives (monetary, value-based, travel-related credits, etc.) to influence drivers’ en route routing decisions to manage network-level system performance in congested dynamic traffic networks. In doing so, a key objective is to ensure that the proposed incentives are behavior-consistent, in that they are tailored based on travelers’ smartphone responses. Another objective is to explore how public and private sector transportation entities can collaborate through the use of new forms of incentives that leverage the emerging transportation future, in addition to the currently-used ones. The methodology consists of a three-phase approach. Analytical models and algorithms will be developed in the first phase to identify and implement the specific incentives to be deployed in real-time, using techniques from game theory, optimization, and machine learning. Phase 2 will involve driving simulator-based experiments to analyze the responses of drivers/travelers to the real-time incentives. In the third phase, the insights from the second phase will be used to fine-tune the analytical models and develop the modules that would form the components of a smartphone-based app.

• Record URL:
  https://stride.ce.ufl.edu/wp-content/uploads/sites/153/2022/11/STRIDE-Final-Report-Project-H3.pdf
• Supplemental Notes:
  • We are expecting the final report for this project by end of August 2022.

Language

• English

Project

• Status: Completed
• Funding: $145000
• Contract Numbers:

  69A3551747104

• 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:

  Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)

  University of Florida
  365 Weil Hall
  Gainesville, FL  United States  32611
• Project Managers:

  Tucker-Thomas, Dawn

• Performing Organizations:

  Georgia Institute of Technology

  Department of Civil and Environmental Engineering
  790 Atlantic Drive
  Atlanta, GA  United States  30322

  University of Florida Transportation Institute

  P.O. Box 116580
  Gainesville, FL  United States  32611
• Principal Investigators:

  Peeta, Srinivas

  Du, Lili

• Start Date: 20200115
• Expected Completion Date: 20220731
• Actual Completion Date: 20220824
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Algorithms; Congestion management systems; Connectivity; Driving simulators; Game theory; Incentives; Machine learning; Mobile applications; Mobility; Optimization; Route choice; Smartphones; Travel behavior
• Subject Areas: Data and Information Technology; Highways; Public Transportation; Safety and Human Factors;

Filing Info

• Accession Number: 01729954
• Record Type: Research project
• Source Agency: Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)
• Contract Numbers: 69A3551747104
• Files: UTC, RIP
• Created Date: Jan 31 2020 5:04PM