congestion

Incentive Systems for New Mobility Services

  • Principal Investigator Meisam Razaviyayn, Ph.D.
  • University of Southern California
In this research, investigators will study and develop mechanisms for offering incentives to organizations and companies to change the behavior of individual drivers in their organization.
Project Status
Complete

Incentive Systems for New Mobility Services

Research Product Type
Research Report
With rapid population growth and urban development, traffic congestion has become an inescapable issue in large metropolitan regions. This research project studies the problem of offering incentives to organizations to change the behavior of their individual drivers (or individuals using their organization’s services).

Incentive Systems for New Mobility Services to Reduce Congestion

Research Product Type
Research Brief
Researchers at the University of Southern California developed a distributed algorithm for offering incentives to organizations to make socially optimal routing decisions designed to lower the traffic flow of congested roads without creating new congestion in other parts of the road network.

Lessons Learned for Designing Programs to Charge for Road Use, Congestion, and Emissions

Research Product Type
White Paper
This study provides an overview of the academic literature related to vehicle pricing, examines case studies of locations where pricing has been implemented, and investigates the design choices for programs that would address each of three major externalities related to vehicle use: road damage, emissions (both greenhouse gases and local pollutants), and congestion.

Managing the Impacts of Freight in California

  • Principal Investigator Genevieve Giuliano, Ph.D.
  • University of Southern California
The purpose of this research is to generate recommendations on the most effective strategies for reducing freight related congestion and its impacts
Project Status
Complete

METRANS Spring 2024 Speaker Series: Evaluating Alternative Strategies for Traffic Reduction in Los Angeles

Using big-data from a rich network of detectors located on all freeways in Los Angeles that measure in real-time speed and flow (that is, car counts), this project will rely on statistical methods and interactive visualization techniques to develop a practical tool for policymakers to infer the effects of alternative strategies for reducing traffic congestion in Los Angeles. 
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