摘要: |
This project will continue the work started on the first Clear Roads Project TPF-5(092) and changes the lead state to Minnesota (www.clearroads.org). The goal of this project is to help state Department of Transportations (DOTs) make more informed decisions using winter weather road data collected from vehicle-mounted sensors. Today data collected by such sensors are useful but
limited. For a given parameter (for example, grip, road condition, water film height, etc.), sensors from different manufacturers may provide disparate values under the same conditions, making the information hard to interpret across manufacturers. Moreover, even when a given manufacturer�s measurement scales are well understood, the resulting set of measured values for an array of parameters (road condition, grip, road temperature, dew point temperature, water film height and others) are not easily translated into unambiguous guidance: what are the road conditions, how can they be characterized in terms of a performance measure, and what operational steps should a maintenance agency take? Through rigorous testing of sensor equipment, development of standardized scales, and creation of guidance for using an array of measurements in concert for decision-making, Clear Roads hopes to make better use of road sensor data than is now currently available. The guidance developed from this project will help in multiple aspects of winter maintenance�in the short-term for responding to a winter storm in real time, and in the long-term in making policy and planning
decisions based on performance trends. It will also help practitioners avoid guesswork by providing guidance based on vetted equipment and reliable numerical standards. |