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Santa Ana, CA, United States

A comparative traffic data analytics framework and visualization tool utilizes multiple data processing functions to manipulate traffic information from a plurality of sources and enable users to configure comparative analyses in a dashboard-style format for arterial and intersection performance monitoring and management. The comparative visualization tool provides a plurality of user-configurable functions to view corridor travel and delay times, an animated map, overall network statistics, and intersection performance using a graphical user interface to guide decision-making processes for traffic management in an arterial transportation network.


A pavement condition analysis system and method models a state of a roadway by processing at least traffic and weather data to simulate the impact of traffic and weather conditions on a particular section of a transportation infrastructure. Traffic data is ingested from a plurality of different external sources to incorporate various approaches estimating traffic characteristics such as speed, flow, and incidents, into a road condition model to analyze traffic conditions on the roadway in order to improve road condition assessments and/or prediction. A road condition model applies these traffic characteristics, weather data, and other input data relevant to road conditions, accounting for heat and moisture exchanges between the road, the atmosphere, and pavement substrate(s) in a pavements composition, as further influenced by traffic and road maintenance activities, to generate accurate and reliable simulations and predictions of pavement condition states for motorists, communication to vehicles, use by industry and public entities, and other end uses such as media distribution.


An analytical framework and modeling process for assessing salinity contamination of soil ecosystems in geographical areas related to oil and gas production sites combines detection and monitoring of unplanned saltwater releases from such production activities with soil impact prediction. The analytical framework and modeling process enables an assessment of risks associated with saltwater disposal from drilling operations to the surrounding environment and the impact on soils, aquifers, rangeland, cropland, and adjoining areas by monitoring water movement and other soil conditions, and generating predictive output data for landowners, farmers, oil and gas production site operators, governmental regulators, and other end users for contamination mitigation and agricultural activities.


Estimation of traffic speed includes applying data processing functions to determine missing speed information by smoothing spatial and temporal GPS data to achieve an accurate estimation of link speed over all links of a transportation network at all time periods. This estimation of traffic speed uses one links observed speed information to estimate neighboring links without observed speed information and therefore provides a system and method of processing collected GPS data to obtain a thorough understanding of traffic flow conditions for all represented links without further collection of GPS data. The present invention also provides a framework for analyzing and improving real-time collection of GPS speed data.


Quality assessment of probe data collected from GPS systems is performed by a system and method of determining a value of data points provided by different vendors of such data. Incoming raw probe data is initially analyzed for removal of extraneous data points, and is then mapped to roadway links and smoothed out. The resulting output is processed to determine the coverage value of data provided by a given vendor and enable a comparison between different vendors. Such a model of probe data processing also enables an evaluation of a contribution of further vendors of raw probe data to an existing dataset. Additionally, a real-time performance evaluation of continually-ingested probe data includes building historical and data count profiles, and generating output data represented by a number of data points for a specific distance within a geo-box representing a geographical area, to project a value of raw probe data for a next incremental time period.

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