| Patent application number | Description | Published |
|---|
| 20130197889 | MANAGEMENT TOOLS FOR QUANTIFICATION AND SIMULATION OF PERFORMANCE AND OUTCOME OF WINTER TRANSPORTATION INFRASTRUCTURE MAINTENANCE ACTIVITIES - An apparatus and system for evaluating winter transportation infrastructure maintenance operations includes a quantification component and a simulation component. Input data representative of collected winter transportation infrastructure maintenance data and observed transportation infrastructure data are modeled in a comprehensive data processing mechanism to measure and carry out effective and efficient winter maintenance planning and operations. | 08-01-2013 |
| 20130197977 | MANAGEMENT TOOLS FOR QUANTIFICATION OF PERFORMANCE AND OUTCOME OF WINTER TRANSPORTATION INFRASTRUCTURE MAINTENANCE ACTIVITIES - An apparatus and system for evaluating winter transportation infrastructure maintenance operations includes a quantification component and a simulation component. Input data representative of collected winter transportation infrastructure maintenance data and observed transportation infrastructure data are modeled in a comprehensive data processing mechanism to measure and carry out effective and efficient winter maintenance planning and operations. | 08-01-2013 |
| 20130198088 | MANAGEMENT TOOLS FOR SIMULATION OF PERFORMANCE AND OUTCOME OF WINTER TRANSPORTATION INFRASTRUCTURE MAINTENANCE ACTIVITIES - An apparatus and system for evaluating winter transportation infrastructure maintenance operations includes a quantification component and a simulation component. Input data representative of collected winter transportation infrastructure maintenance data and observed transportation infrastructure data are modeled in a comprehensive data processing mechanism to measure and carry out effective and efficient winter maintenance planning and operations. | 08-01-2013 |
| 20130346043 | LOCALIZED MOBILE DECISION SUPPORT METHOD AND SYSTEM FOR ANALYZING AND PERFORMING TRANSPORTATION INFRASTRUCTURE MAINTENANCE ACTIVITIES - Support for enabling maintenance decision-making activities within a transportation infrastructure network includes one or more methods, apparatuses and systems for localized assimilation, integration, and processing of both locally-generated and remotely-acquired road condition, treatment, and weather data within a mobile computing environment to improve the information available to manage maintenance decisions and performance. This maintenance decision-making support includes communication components and processing modules that integrate data from multiple external sources to locally simulate conditions on, and generate treatment recommendations for, local roadways and transportation network segments based on user-selected parameters. | 12-26-2013 |
| 20140122045 | PAVEMENT CONDITION ANALYSIS FROM MODELING IMPACT OF TRAFFIC CHARACTERISTICS, WEATHER DATA AND ROAD CONDITIONS ON SEGMENTS OF A TRANSPORTATION NETWORK INFRASTRUCTURE - 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 pavement's 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. | 05-01-2014 |
| 20140195159 | APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES AND STATISTICAL ENSEMBLING TO FORECAST POWER OUTPUT OF A WIND ENERGY FACILITY - A wind energy forecasting system processes data from one or more numerical weather prediction models with power output data from a wind energy facility using artificial intelligence. This artificial intelligence is applied in one or more neural networks that produce specific power output forecasts for each numerical weather prediction model. A statistical ensembling approach is then applied to the resulting numerical weather prediction model forecasts and integrated with a persistence power output forecast to arrive at a consensus, overall forecasted power output for the wind energy facility. | 07-10-2014 |
| 20140222321 | TRAFFIC STATE ESTIMATION WITH INTEGRATION OF TRAFFIC, WEATHER, INCIDENT, PAVEMENT CONDITION, AND ROADWAY OPERATIONS DATA - An integrated traffic state estimation framework ingests information from multiple input data sources having an impact on traffic flow and correlated to specific road links in a segmented roadway network, and generates output data representative of predictive traffic states. The predictive traffic states are then modeled to generate routing information for traffic on a particular section of roadway. These multiple input data sources include general traffic data collected from one or more sensors or third parties, weather data, incident data, pavement condition data, and roadway operations data, each of which includes data relevant to traffic congestion. The input data is weighted and modeled with data processing modules configured to integrate known and predicted information to produce accurate routing information for particular roadway segments for media, telematics, and consumer uses. | 08-07-2014 |
| 20140278331 | PAVEMENT CONDITION ANALYSIS FROM MODELING IMPACT OF TRAFFIC CHARACTERISTICS, WEATHER DATA AND ROAD CONDITIONS ON SEGMENTS OF A TRANSPORTATION NETWORK INFRASTRUCTURE - 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 pavement's 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. | 09-18-2014 |
