Identifying Faults in the Traffic Data Network

Principal Investigator(s):

Bapiraju Vinnakota, Former Assistant Professor, Computer Science and Engineering

Project summary:

The goal of this project is to investigate, develop and implement techniques to better maintain the automated traffic management system in the metro area. Our research will concentrate on the data collection components of the system; specifically loop detectors, and communication equipment. The methods used will be derived from those used to detect faulty components in digital integrated circuits and parallel processors. Our study will focus on commonly identified detector failure models. The algorithms developed will be implemented in software and tested on sample historical data, as well as on-line. The fault detection system will be developed such that it can be integrated with existing management systems at the traffic management center, and a research system under development.


Project details:

  • Project number: 1995015
  • Start date: 01/1996
  • Project status: Completed
  • Research area: Transportation Safety and Traffic Flow
  • Topics: Data and modeling