traffic simulation

Real-Time Large-Scale Ridesharing with Flexible Meeting Points

  • Principal Investigator Maged Dessouky, Ph.D.
  • University of Southern California
This project will develop a framework that will, in real-time, match drivers to passengers and route rideshare drivers that incorporates traffic data to provide improved solutions. The resulting solution framework will use commercial traffic simulation software to achieve this goal.
Project Status
In Progress

The impacts of automated vehicles on Center city parking

Research Product Type
Associated Publication
The potential for automated vehicles (AVs) to reduce parking in central cities has generated much excitement among urban planners. However, a reduction in parking could be accompanied by increased demand for curbside DO/PU space with related movements to enter and exit the flow of traffic.This study uses a microscopic road traffic model with local travel activity data to simulate personal AV parking scenarios in San Francisco’s downtown central business district (CBD).