University of Washington

17 2017 – 2018 Annual Report icing and deicing compounds after they have been applied to the roadway surface (i.e., how long does it stay in place and where does it go post-application?). To that end, the objectives of this project are fourfold: 1. Create a framework and develop methods for generating an anti-icing and deicing chemical spectral library to be used for in-situ imaging and concentration quantifi cation; 2. Conduct preliminary fi eld imagery acquisition and processing for proof of concept; 3. Develop and conduct a robust sampling strategy to quantify the amount of anti-icing and deicing chemical loss due to imposed processes; and 4. Integrate fi ndings into practice to inform and improve winter maintenance efforts and strategies. The goal of this project will be to determine to what extent a winter roadway surfaces can be analyzed using spectrometry to record the percentage refl ectance at each wavelength. In this process, a catalog of the prime constituents used in anti-icing and deicing materials n-members will be recorded. These recordings will then be used to estimate varying spatial and temporal compositions of anti-icing and deicing material. Development of Protocol to Maintain Winter Mobility of Different Classes of Pervious Concrete Pavement Based on Porosity • PI: Somayeh Nassiri (WSU) We will extend the scope of testing to more laboratory and fi eld testing to include a wide range of mixtures and installations. The goal is to ensure mobility on various classes of pervious concrete pavements all-year round. The scope of work will include in-fi eld and laboratory porosity characterization for various pervious concrete installations. Then, correlating the pores properties to ice formation potential, to predict the level of winter maintenance treatments required. Dynamic Metering in Connected Urban Street Networks: Improving Mobility • PI: Ali Hajbabaie (WSU) The goal of this project is to improve mobility by developing a dynamic traffi c metering methodology in connected urban street networks. The methodology aims at metering an optimal portion of incoming traffi c at the borders or inside the network to increase system-level mobility by avoiding long queues, queue spillovers, and gridlocks. This study will generate the fi rst network level formulation for dynamic optimization of metering rates in urban street networks. It will also incorporate connected vehicle information in the mathematical model and the proposed solution algorithm. The project directly addresses the system-wide effi ciency focus area by developing system-wide methods to improve mobility in urban street networks. In addition, the project directly addresses data-driven solutions in transportation networks as well as technologies to connected users and infrastructure systems as it fuses connected vehicle and point detector (e.g., loop detector) data and integrates them in mathematical models to optimize metering rates.

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