Data fusion process for an in-vehicle traffic congestion information system
First Claim
1. In an in-vehicle traffic congestion information system, a method of processing traffic congestion data comprising the steps of:
- inputting raw traffic congestion data from at least one traffic congestion data source;
processing said raw traffi congestion data from at least one traffic congestion data source to product at least one traffic congestion value indicative of a level of traffic congestion for a predetermined section of roadway;
assigning a score indicative of the reliability of said at least one traffic congestion data source to said at least one traffic congestion value; and
selecting a traffic congestion value for a predetermined section of roadway from said at least one traffic congestion data source determined to have a highest score.
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Accused Products
Abstract
The In-Vehicle Traffic Congestion Information System (ICI system) consists of a technique to provide real-time traffic congestion data to drivers of suitably equipped vehicles. The ICI system includes apparatus for gathering and formatting data at a central location, transmitting the data to vehicles, processing data in the vehicles and presenting it to the drivers. The ICI system design provides inputs for a wide range of data sources at a central location where, through a data fusion process, information from a range of sources may be accumulated and aggregated into a single congestion level data value for each section of road. In the vehicles, a range of options may be available for presenting relevant congestion data to the driver including text, voice and map displays.
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Citations
15 Claims
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1. In an in-vehicle traffic congestion information system, a method of processing traffic congestion data comprising the steps of:
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inputting raw traffic congestion data from at least one traffic congestion data source; processing said raw traffi congestion data from at least one traffic congestion data source to product at least one traffic congestion value indicative of a level of traffic congestion for a predetermined section of roadway; assigning a score indicative of the reliability of said at least one traffic congestion data source to said at least one traffic congestion value; and selecting a traffic congestion value for a predetermined section of roadway from said at least one traffic congestion data source determined to have a highest score. - View Dependent Claims (2, 3, 4, 5, 6)
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7. In an in-vehicle traffic congestion information system, a method of processing traffic congestion data comprising the steps of:
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inputting raw traffic congestion data from at least one traffic congestion data source; processing said raw traffic congestion data from at least one traffic congestion data source to produce at least one traffic congestion value indicative of a level of traffic congestion for a predetermined section of roadway; assigning a score indicative of the reliability of said at least one traffic congestion data source to said at least one traffic congestion value; assigning an aging factor to said at least one traffic congestion data source, said aging factor indicative of the reliability of said at least one traffic congestion data source over a period of time; decrementing over a period of time as a function of said aging factor the score indicative of the reliability of said at least one traffic congestion data source to produce a decremented score; and selecting a traffic congestion value for a predetermined section of roadway from said at least one traffic congestion data soucre determined to have a decremented highest score. - View Dependent Claims (8, 9, 10)
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11. In an in-vehicle traffic congestion information system, a method of processing traffic congestion data comprising the steps of:
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inputting raw traffic congestion data from at least one traffic congestion data source; processing said raw traffic congestion data from at least one traffic congestion data source to produce at least one traffic congestion value indicative of a level of traffic congestion for a predetermined section of roadway; assigning a score indicative of the reliability of said at least one traffic congestion data source to said at least one traffic congestion value; assigning a weighting factor to a score indicative of the reliability of said at least one traffic congestion data source, said weighting factor being a function of the traffic congestion value represented by each score; multiplying said score by said weighting factor to produce a weighted score; and selecting a traffic congestion value for a predetermined section of roadway from said at least one traffic congestion data source determined to have a highest weighted score.
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12. In an in-vehicle traffic congestion information system, a method of processing traffic congestion data comprising the steps of:
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inputting raw traffic congestion data from at least one traffic congestion data source; processing said raw traffic congestion data from at least one traffic congestion data source to produce at least one traffic congestion value indicative of a level of traffic congestion for a predetermined section of roadway; assigning a score indicative of the reliability of said at least one traffic congestion data source to said at least one traffic congestion value; assigning a weighting factor to a score indicative of the reliability of said at least one traffic congestion data source, said weighting factor being a function of the traffic congestion value represented by each score; multiplying said score by said weighting factor to produce a weighted score; assigning an aging factor to said at least one traffic congestion data source, said aging factor indicative of the reliability of said at least one traffic congestion data source over a period of time; decrementing over a period of time as a function of said aging factor the weighted score indicative of the reliability of said at least one traffic congestion data source to produce a decremented weighted score; and selecting the traffic congestion value for a predetermined section of roadway from said at least one traffic congestion data source determined to have a highest decremented weighted score. - View Dependent Claims (13, 14, 15)
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Specification