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

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Research output: Unpublished conference presentation (presented paper, abstract, poster) › Conference presentation (not published in journal/proceeding/book) › Academic research ›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

4 Citations (Scopus)

Abstract

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 language	English
Publication status	Published - Oct 2006
Event	13th World Congress on Intelligent Transport Systems and Services, ITS 2006 - London, United Kingdom Duration: 8 Oct 2006 → 12 Oct 2006

Conference

Conference	13th World Congress on Intelligent Transport Systems and Services, ITS 2006
Country/Territory	United Kingdom
City	London
Period	8/10/06 → 12/10/06

Keywords

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

Cite this

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title = "Data fusion for traffic and safety indicators: The intelligent roads perspectives",

abstract = "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.",

keywords = "Data fusion, DTA calibration, ITS, Performance indicators, Traffic engineering, Travel time",

author = "{De Mouzon}, O. and {El Faouzi}, {N. E.} and B. Nowotny and Morin, {J. M.} and E. Chung",

year = "2006",

month = oct,

language = "English",

note = "13th World Congress on Intelligent Transport Systems and Services, ITS 2006 ; Conference date: 08-10-2006 Through 12-10-2006",

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Data fusion for traffic and safety indicators : The intelligent roads perspectives. / De Mouzon, O.; El Faouzi, N. E.; Nowotny, B.; Morin, J. M.; Chung, E.

2006. Paper presented at 13th World Congress on Intelligent Transport Systems and Services, ITS 2006, London, United Kingdom.

Research output: Unpublished conference presentation (presented paper, abstract, poster) › Conference presentation (not published in journal/proceeding/book) › Academic research ›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

TY - CONF

T1 - Data fusion for traffic and safety indicators

T2 - 13th World Congress on Intelligent Transport Systems and Services, ITS 2006

AU - De Mouzon, O.

AU - El Faouzi, N. E.

AU - Nowotny, B.

AU - Morin, J. M.

AU - Chung, E.

PY - 2006/10

Y1 - 2006/10

N2 - 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.

AB - 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.

KW - Data fusion

KW - DTA calibration

KW - ITS

KW - Performance indicators

KW - Traffic engineering

KW - Travel time

UR - http://www.scopus.com/inward/record.url?scp=84950166998&partnerID=8YFLogxK

M3 - Conference presentation (not published in journal/proceeding/book)

AN - SCOPUS:84950166998

Y2 - 8 October 2006 through 12 October 2006

ER -

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

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Cite this