XVI WORLD WINTER SERVICE AND ROAD RESILIENCE CONGRESS
Proceedings of the Congress

WS 6.2 Floating car data in winter service

Thursday, February 10 09:45 - 11:15 (Calgary)

GMT : 02/10| 16:45 - 18:15 Paris : 02/10| 17:45 - 19:15 New Delhi : 02/10| 22:15 - 23:45 Tokyo : 02/11| 01:45 - 03:15 Sydney : 02/11| 03:45 - 05:15

Chair: Stéphanie GAUDÉ, French-speaking Secretary of TC 3.2, France

This topic will look at what winter information the general public want and need to know, and the best platforms to use to ensure the information can be delivered clearly and efficiently using both manual input and information being received and sent from connected vehicles. Also, what are the effects winter conditions will have on connected and autonomous vehicles; and the effect connected and autonomous vehicles on winter service? Common stationary road weather stations provide data for only one spot of a road network. Meanwhile modern cars are able to collect data all the time. Some data can be linked to information relevant for winter maintenance. The use of data for whole network rather than specific points for winter service is discussed in this session.

  1. Welcome and session introduction
  2. Presentations
  3. Video
  4. Questions and Answers
  5. Conclusion

Welcome and session introduction

• Stéphanie GAUDÉ

Presentations

Digital road winter condition information using floating car data - From research to implementation
• Mr Christian Eriksson, ViaPM AB, Sweden

Floating Car Data for Monitoring of Road Friction - How to purchase friction data for a state agency
• Mr Anders Asp, ViaPM AB, Sweden

Floating Car Data for Monitoring of Road Friction - Collect, refine, store and visualize floating car data
• Mr Michael Wallin, Etex AB, Sweden

Friction information from floating car data
• Mr Johan Casselgren, Luleå University of Technology, Sweden

Video

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Questions and Answers

• Stéphanie GAUDÉ

Conclusion

• Mo TAYYARAN, member of TC 3.2 of PIARC, Canada

Session Organiser: Stéphanie GAUDÉ
Session Secretary: Mo TAYYARAN