Pavement condition analysis from modeling impact of traffic characteristics, weather data and road conditions on segments of a transportation network infrastructure
First Claim
1. A method of integrating traffic, weather and road condition data for modeling pavement conditions in a transportation infrastructure network, comprising:
- ingesting, as a first set of input data, weather data collected from one or more of weather sensors, satellite networks, vehicle-based systems, and numerical weather prediction models, and developing a meteorological profile representing weather conditions on a roadway segment of a transportation infrastructure for which pavement conditions are to be modeled;
ingesting, as a second set of input data, traffic data, and developing a traffic profile representing traffic conditions on the roadway segment for which pavement conditions are to be modeled;
ingesting, as a third set of input data, road condition data collected from one or more of road sensors, mobile sensors, and vehicle-based systems, and developing standardized road condition reports representing roadway conditions on the roadway segment for which pavement conditions are to be modeled;
assimilating, in a computing environment comprised of hardware and software components that include at least one processor configured to analyze the meteorological profiles, the traffic profiles, and the standardized road condition reports in a road condition model that simulates and iteratively adjusts pavement condition states from behavior of a pavement response to one or more of
1) changes in states of moisture resulting from heat and moisture exchanges between a pavement surface, the atmosphere, and one or more pavement substrates in a pavement'"'"'s composition
2) traffic flow characteristics that include deviations from a normal traffic state at a specified period of time indicated in the traffic profile, and
3) experienced roadway conditions from the standardized road condition reports, and predicts pavement condition states over the specified period of time; and
generating one or more of a plurality of output pavement conditions from the simulated and predicted pavement condition states to output data modules configured to develop spatial, trip, and time-series content in one or more related application programming interfaces, and interpretations of the simulated and predicted pavement condition states for distribution to output data modules configured to develop enhanced commercial content in one or more related application programming interfaces.
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Accused Products
Abstract
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.
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Citations
30 Claims
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1. A method of integrating traffic, weather and road condition data for modeling pavement conditions in a transportation infrastructure network, comprising:
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ingesting, as a first set of input data, weather data collected from one or more of weather sensors, satellite networks, vehicle-based systems, and numerical weather prediction models, and developing a meteorological profile representing weather conditions on a roadway segment of a transportation infrastructure for which pavement conditions are to be modeled; ingesting, as a second set of input data, traffic data, and developing a traffic profile representing traffic conditions on the roadway segment for which pavement conditions are to be modeled; ingesting, as a third set of input data, road condition data collected from one or more of road sensors, mobile sensors, and vehicle-based systems, and developing standardized road condition reports representing roadway conditions on the roadway segment for which pavement conditions are to be modeled; assimilating, in a computing environment comprised of hardware and software components that include at least one processor configured to analyze the meteorological profiles, the traffic profiles, and the standardized road condition reports in a road condition model that simulates and iteratively adjusts pavement condition states from behavior of a pavement response to one or more of
1) changes in states of moisture resulting from heat and moisture exchanges between a pavement surface, the atmosphere, and one or more pavement substrates in a pavement'"'"'s composition
2) traffic flow characteristics that include deviations from a normal traffic state at a specified period of time indicated in the traffic profile, and
3) experienced roadway conditions from the standardized road condition reports, and predicts pavement condition states over the specified period of time; andgenerating one or more of a plurality of output pavement conditions from the simulated and predicted pavement condition states to output data modules configured to develop spatial, trip, and time-series content in one or more related application programming interfaces, and interpretations of the simulated and predicted pavement condition states for distribution to output data modules configured to develop enhanced commercial content in one or more related application programming interfaces. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A system comprising:
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a computer processor; and at least one computer-readable storage medium operably coupled to the computer processor and having program instructions stored therein, the computer processor being operable to execute the program instructions to operate a road condition model in a plurality of data processing modules, the plurality of data processing modules including; a data ingest module configured to receive, as input data, weather data representing meteorological conditions experienced on segments of roadway a transportation infrastructure, and traffic data representing traffic conditions experienced on segments of roadway in a transportation infrastructure, and road condition data representing factors relating to experienced road conditions on segments of a transportation infrastructure; a pavement analysis module configured to simulate and iteratively adjust pavement condition states from behavior of a pavement in response to one or more of
1) changes in states of moisture resulting from heat and moisture exchanges between the road surface, the atmosphere, and one or more pavement substrates in a pavement'"'"'s composition,
2) traffic flow characteristics that include deviations from a normal traffic state at a specified period of time, and
3) experienced road conditions, anda forecast module configured to generate predictions of pavement condition states over the specified period of time. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22)
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23. A method of modeling pavement conditions in a transportation infrastructure network, comprising:
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developing associations of input data to road segment metadata in a plurality of profiles in at least one processor in a computing environment comprised of hardware and software components to enable a plurality of data processing functions in a road condition model, the plurality of profiles include a meteorological profile representing weather conditions, a traffic profile representing traffic conditions, and standardized road condition reports representing experienced road conditions, for roadway segments of a transportation infrastructure; simulating and iteratively adjusting pavement condition states from a behavior of a pavement for a roadway segment in response to one or more of
1) changes in states of moisture resulting from heat and moisture exchanges between the road surface, the atmosphere, and one or more pavement substrates in the pavement'"'"'s composition as a result of impacts on the pavement by weather, traffic, and road conditions experienced on the roadway segment,
2) traffic flow characteristics that include deviations from a normal traffic state, at a specified period of time, and
3) the experienced road conditions from the standardized road condition reports; andpredicting pavement condition states over the specified period of time, wherein predictions of pavement condition states at least comprise forecasts of pavement surface temperatures and conditions. - View Dependent Claims (24, 25, 26, 27, 28, 29, 30)
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Specification