Exploring a Novel Public-Private Partnership Data-Sharing Policy through a Collaborative Arterial Traffic Management System

Project Details
Author(s) Pengfei (Taylor) Li, University of Texas at Arlington
Co-Author(s) Michael Hunter, Georgia Institute of Technology & Angshuman Guin, Georgia Institute of Technology
CTEDD Funding Year 2020 General RFP
Project Status In Progress


According to the latest Urban Mobility Report published by Texas A #038;M Transportation Institute TTI , urban traffic congestion, mostly generated on urban arterials, is a persistently growing problem. In 2017, the total congestion cost in 494 U.S. urban areas was 166 billion and the extra travel time was 8.8 billion hours. Urban congestion is negatively affecting the economy and society of U.S. To solve the urban congestions, the University of Texas Arlington and Georgia Institute of Technology will collaborate to investigate a new Public-Private-Partnership PPP Data Sharing Policy through developing a novel arterial system performance monitoring and optimization system. The new system uses traffic data from both public agencies and private resources. In addition to the traditional traffic data sets, such as traffic countsor traffic signal events, crowdsourced vehicle trajectory data from private companies will also be included. The second focus of this research is to explore the unconventional optimization techniques for automated arterial system performance improvements. The arterial traffic performance monitoring and optimization are seamlessly integrated toward a highly automated arterial management framework ...to reduce the urban congestion and meet the future needs of travelers. These potential benefits of these two primary research thrusts will be demonstrated using an emergency Read more

Subjects#: Advanced Computing, Big Data, Emergency Vehicles, Traffic Management