Data fusion for traffic and safety indicators: The intelligent roads perspectives

O. De Mouzon, N. E. El Faouzi, B. Nowotny, J. M. Morin, E. Chung

Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review

4 Citations (Scopus)


This work, part of the European project 'Intelligent Roads', aims to achieve real-time data collection and innovative methods for road traffic monitoring, focusing on some performance indicators: travel time and traffic density. Data fusion provides a consistent and comprehensive picture of network conditions, based only on available data sources: No sensor expense, but improved data quantity and quality. Two main sources are used: Classical loop detectors and probe vehicle reports (floating car data, toll stamp reports). Data is collected on several European sites. Very encouraging results are obtained on performance indicators. Data fusion will be applied to safety indicators too.

Original languageEnglish
Publication statusPublished - Oct 2006
Event13th World Congress on Intelligent Transport Systems and Services, ITS 2006 - London, United Kingdom
Duration: 8 Oct 200612 Oct 2006


Conference13th World Congress on Intelligent Transport Systems and Services, ITS 2006
Country/TerritoryUnited Kingdom


  • Data fusion
  • DTA calibration
  • ITS
  • Performance indicators
  • Traffic engineering
  • Travel time

ASJC Scopus subject areas

  • Mechanical Engineering
  • Transportation
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Automotive Engineering
  • Artificial Intelligence
  • Control and Systems Engineering
  • Computer Networks and Communications

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