WS 3.2 Weather information and MDSS
Monday, February 7 18:00 - 19:30 (Calgary)
Chair: Hiroki MATSUSHITA, member of PIARC TC 3.2, Japan
Most actions in winter maintenance are triggered by weather events. Weather forecasts are a very important source of Information for decision maker in winter service but they are not the only one. Together with information about road weather, road state and traffic winter service operates. New technologies in data collection, transfer and analysis enable new innovative technologies to support decision makers. New simulation methods like neural networks can be used to help with decisions in winter service. This session shows different systems and methods and experience with MDSS.
Welcome and session introduction
• Hiroki MATSUSHITA
Presentations
The City of Calgary Maintenance Decision Support System (MDSS)
• Mr Diar Hassan, Wood PLC, Canada
Semantic segmentation for Winter Road Surface Management using Deep Learning
• Mr Akira Saida, Civil Engineering Research Institute for Cold Region, PWRI, NRDA, Japan
Application of the MDSS system in high capacity roads in areas with continental climate. The experience in Spain
• Mr Jerónimo Gamallo de Cabo, Ferroser Infraestructuras S.A., Spain
Kent County Council and Amey AI surface temperature prediction model
• Mrs Carol Valentine, Kent County Council, United Kingdom
• Mr. Mark Fisher, Amey plc, United Kingdom
Video
To view this video, you must be logged in.
Questions and Answers
• Hiroki MATSUSHITA
Conclusion
• Hiroki MATSUSHITA
Session
Organiser: Hiroki MATSUSHITA
Session Secretary: Masaru MATSUZAWA, member of PIARC TC 3.2, Japan