congestion

Congestion Reduction through Efficient Empty Container Movement

  • Principal Investigator Maged Dessouky, Ph.D.
  • University of Southern California
The researchers created a model to solve the "Empty Container Problem" of freight operations. They tested the model using data from the Port of Los Angeles and the Port of Long Beach.
Project Status
Complete

Congestion Reduction Through Efficient Empty Container Movement Under Stochastic Demand

Research Product Type
Research Report
n this work, the authors developed a scheduling assignment for loaded and empty containers that builds on earlier models but incorporates stochastic (random) future demand. This report shows that the truck miles needed to satisfy the demand at all locations is reduced by about 4-7% when considering future stochastic demand as opposed to only considering today’s demand.

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.

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.

Congestion Reduction via Personalized Incentives

  • Principal Investigator Meisam Razaviyayn, 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

Coordinated Traffic Flow Control in a Connected Environment

  • Principal Investigator Petros Ioannou, Ph.D.
  • University of Southern California
This project will investigate how connectivity provided by vehicle to infrastructure (V2I) and vehicle to vehicle (V2V) technologies can be used to develop traffic flow control systems that will enhance mobility and safety, and reduce queues at ramps with positive benefits to transportation efficiency and environment.
Project Status
In Progress