Congestion Reduction via Personalized Incentives

The purpose of this research is to develop real-time algorithms to reduce traffic congestion and improve routing efficiency via offering personalized incentives to drivers. The incentives and alternative routes should be chosen smartly in order to maximize the probability of acceptance by the driver and to avoid the creation of new congestion in other areas of the network. To this end, the research team proposes to exploit the wide accessibility of smart communication devices and develop a real-time look-ahead incentive-offering mechanism using individuals’ routing and aggregate traffic information. The proposed approach relies on historical data and state-of-the-art traffic prediction methodologies to continually predict congestion and traffic flow of the network. Using this prediction and based on individual preferences, the central controller offers personalized incentives to drivers with the goal of reducing the probability of congestion. The decisions about incentives are made via solving a series of carefully designed large scale stochastic optimization problems. The performance of the proposed algorithms will be evaluated using data from the Los Angeles area.

• Record URL:
  https://ncst.ucdavis.edu/project/congestion-reduction-personalized-incentives

Language

• English

Project

• Status: Completed
• Funding: $104,999.00
• Contract Numbers:

  Caltrans 65A0686 Task Order 043

• Sponsor Organizations:

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590

  California Department of Transportation

  1227 O Street
  Sacramento, CA  United States  95843
• Managing Organizations:

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 

  METRANS Transportation Center

  University of Southern California
  Los Angeles, CA  United States  90089-0626
• Project Managers:

  Iacobucci, Lauren

• Performing Organizations:

  METRANS Transportation Center

  University of Southern California
  Los Angeles, CA  United States  90089-0626

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 
• Principal Investigators:

  Razaviyayn, Meisam

  Giuliano, Genevieve

  Dessouky, Maged

• Start Date: 20200101
• Expected Completion Date: 20201231
• Actual Completion Date: 20210308
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Algorithms; Congestion management systems; Data analysis; Drivers; Incentives; Optimization; Real time information; Routes and routing; Smartphones; Traffic data; Validation
• Geographic Terms: Los Angeles (California)
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors;

Filing Info

• Accession Number: 01717769
• Record Type: Research project
• Source Agency: National Center for Sustainable Transportation
• Contract Numbers: Caltrans 65A0686 Task Order 043
• Files: UTC, RiP
• Created Date: Sep 20 2019 3:29PM