Decision Support for Intelligent Traffic and Environment Management (2009)

Author(s): Suresh V, Watson P, Bell MC, Neasham J

    Abstract: In this demonstration proposal, we will deliver the design and implementation of a static and mobile detector system for monitoring traffic and pollution in existing road networks. The measured data comes from netwoks of low cost, pervasive sensors referred to as "smart motes" as well as legacy monitoring stations. These provide real-time information on traffic, pollution and meteorological conditions.The data collected is processed and anlaysed so that it can be used to drive applications in real-time to monitor network status and manage traffic to reduce congestion, improve air quality and manage noise impacts.

      • Date: January 2009
      • Series Title: School of Computing Science Technical Report Series
      • Pages: 6
      • Institution: School of Computing Science, University of Newcastle upon Tyne
      • Publication type: Report
      • Bibliographic status: Published

      Keywords: Intelligent Transport system, Information Management, UTMC, Decision Support System and Congestion


      Professor Paul Watson
      Professor of Computing Science