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Assessing the changes in operating traffic conditions due to weather conditions

Assessing the changes in operating traffic conditions due to weather conditions. Olivier de Mouzon Nour-Eddin El Faouzi Transport and Traffic Engineering Laboratory (LICIT). École Nationale des Travaux Publics de l’État. Outline. State of the art Objectives of this work

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Assessing the changes in operating traffic conditions due to weather conditions

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  1. Assessing the changes inoperating traffic conditionsdue to weather conditions Olivier de Mouzon Nour-Eddin El Faouzi Transport and Traffic Engineering Laboratory (LICIT) École Nationale des Travaux Publics de l’État

  2. Outline • State of the art • Objectives of this work • Some results of preliminary studies of weather effect on traffic at macro/micro/meso levels: • Study 1: 1 day of individual data • Study 2: 2 day comparison of individual data • Study 3: using traffic composition on 15 days of aggregated data • Study 4: 1 year of semi-aggregated data • Conclusion - Perspectives

  3. Impact of adverse weather on traffic

  4. Objectives • Weather impacts traffic + risk & severity of crashes. • Critical issue for all road operators. • Very seldom studies in some parts of Europe. • Most existing studies consider traffic data at aggregated level. • Here, individual data is available. • New sensor technologies and RWIS: real-time monitoring. • Create better decision support tools for road managers. • More precisely, the goal of this study is to assess the weather impact on traffic risk and safety, through • headway, • speed and • platoon formation.

  5. Study 1: 1 day of data, ASF, 3-lane motorway

  6. Study 1 – macroscopic level

  7. Study 1 – mesoscopic level (platoons)

  8. Middle lane Right lane Study 1 – microscopic level (speeds)

  9. Middle lane Study 1 – microscopic level (time headways)

  10. Study 2: 2 days, ASF, 3-lane motorway • A9 • January 2006 • Satuday 7th • Medium rain 1pm-3pm • Satuday 14th • Dry weather conditions • Similar weather forecasts

  11. Study 2

  12. Study 3: 15 days, aggregated data Free flow speeds from aggregated data (3 lanes, 6 minutes)

  13. Study 4: 1 year of semi-aggregated data Day Night

  14. Conclusion • Results have to be confirmed on larger databases (with congestion) • Some effects have been shown on the available data • Microscopic level: Time headways , speeds , day/night & rain/snow combined effects • Macroscopic level: Free flow speed  depending on traffic composition • Mesoscopic level (platooning): unclear

  15. Perspectives • Development of such studies at European level • Integration to traffic regulation • PhD of Romain Billot • COST TU-07-02 • Title: Real-time monitoring, surveillance and control of road networks under adverseweather conditions • Coordinator: Nour-Eddin El Faouzi

  16. Questions ? Olivier de Mouzon olivier.de-mouzon@inrets.fr Nour-Eddin El Faouzi elfaouzi@inrets.frRomain Billot romain.billot@inrets.fr

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