Congestion Reduction via Personalized Incentives

Research Product Type
Research Brief
Researchers at the University of Southern California developed a real-time, distributed algorithm for offering personalized incentives to individual drivers to make socially optimal routing decisions.

Dynamic Routing for Ridesharing

  • Principal Investigator Maged Dessouky, Ph.D.
  • University of Southern California
The objective of this research is to develop dynamic routing algorithms to support ridesharing.
Project Status
In Progress

Integrated Modelling Program and TCO Calculator for Battery-Electric Medium- and Heavy-Duty Truck Deployment in Regional Freight Use-Cases

  • Principal Investigator Caleb Weed
  • Georgia Institute of Technology
This study identifies heavily-trafficked freight truck routes of optimal distances in Georgia and quantifies electrification benefits for fleets operating on these corridors by integrating outputs from MOVES Matrix, the Argonne National Laboratory’s GREET Model, the Georgia Tech Fuel and Emissions Calculator (FEC), and other models into a web-based tool.
Project Status
In Progress