Maintenance recommendations have been a part of the maintenance decision support system (MDSS) since the winter of 2003-2004.
As we wrap up the winter season and start enjoying the warmer weather, let’s take a look back at this winter and how it lived up to expectations.
As part of our commitment to ensuring users of Iteris’ web-based maintenance decision support systems (MDSS) are in a position to leverage the systems to their fullest potential, we are pleased to provide several methods of delivering education tools and resources.
Having spoken with dozens of road maintenance practitioners from across the country, one of the most intriguing features of ClearPath Weather, our web-based maintenance decision support system (MDSS), is its ability to display current, observed road temperatures.
Iteris is proud to announce the release of the 72-hour time slider to the map views for both ClearPath Weather and WebMDSS, our web-based maintenance decision support system (MDSS).
Maintenance decision support systems (MDSS) offer transportation agencies a wide range and high volume of vital atmospheric and roadway data, from which actionable insights can be extracted to ultimately benefit commercial carriers and the travelling public.
Whether you are experiencing weather and/or road impacts from wintery weather like ice storms, snow storms, blowing snow and road/bridge frost, or severe weather like tornadoes, straight-line winds, thunderstorms, hail, and storm damage, ClearPath Weather can assist you in maintaining your city or state’s roadways.
While no one can deny the inherent value in making your municipality, city or state’s roadways safer and more efficient, with today’s tight road maintenance budgets it can be difficult to justify additional expenditures on initiatives that don’t seem to provide immediate or obvious benefits.
As we near the midpoint of the winter season, we thought it would be interesting to take a look at how the winter has been going thus far. We will revisit our predictions for the winter and see how they are shaping up, in addition to giving our thoughts on how we expect the rest of the winter season to unfold.
As the availability and volume of data to help us understand what is happening or will happen in an agricultural field or orchard continues to grow exponentially, the challenge we now face is how to collect, synthesize and use this data to provide simple and actionable understandings and recommendations for a user.