traffic

Congestion Reduction via Personalized Incentives

  • Principal Investigator Genevieve Giuliano, Ph.D.
  • University of Southern California
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.
Project Status
Complete

Congestion Reduction via Personalized Incentives

Research Product Type
Research Report
With rapid population growth and urban development, traffic congestion has become an inescapable issue, especially in large cities. Many congestion reduction strategies have been proposed in the past, ranging from roadway extension to transportation demand management programs. In particular, congestion pricing schemes have been used as negative reinforcements for traffic control. This project studies a different approach of offering positive incentives to drivers to take alternative routes.