Method and system for modeling and processing vehicular traffic data and information and applying thereof
First Claim
1. A method for modeling and processing vehicular traffic data, comprising the steps of:
- generating a representation of a road network associated with the vehicular traffic data, the road network comprising a plurality of road sections; and
acquiring vehicular traffic data associated with said road network from a plurality of mobile sensors in communication with a wireless telecommunication network, wherein acquiring vehicular traffic data comprises selecting a sample comprising vehicle-carried mobile sensors from the plurality of mobile sensors and tracking locations of said mobile sensors of said sample over the road network, the method further including a procedure for protecting privacy of individuals associated with said vehicle-carried mobile sensors by keeping the identities of relevant mobile sensors within said wireless telecommunications network.
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Accused Products
Abstract
A method and system for modeling and processing vehicular traffic data and information, comprising: (a) transforming a spatial representation of a road network into a network of spatially interdependent and interrelated oriented road sections, for forming an oriented road section network; (b) acquiring a variety of the vehicular traffic data and information associated with the oriented road section network, from a variety of sources; (c) prioritizing, filtering, and controlling, the vehicular traffic data and information acquired from each of the variety of sources; (d) calculating a mean normalized travel time (NTT) value for each oriented road section of said oriented road section network using the prioritized, filtered, and controlled, vehicular traffic data and information associated with each source, for forming a partial current vehicular traffic situation picture associated with each source; (e) fusing the partial current traffic situation picture associated with each source, for generating a single complete current vehicular traffic situation picture associated with entire oriented road section network; (f) predicting a future complete vehicular traffic situation picture associated with the entire oriented road section network; and (g) using the current vehicular traffic situation picture and the future vehicular traffic situation picture for providing a variety of vehicular traffic related service applications to end users.
123 Citations
26 Claims
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1. A method for modeling and processing vehicular traffic data, comprising the steps of:
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generating a representation of a road network associated with the vehicular traffic data, the road network comprising a plurality of road sections; and
acquiring vehicular traffic data associated with said road network from a plurality of mobile sensors in communication with a wireless telecommunication network, wherein acquiring vehicular traffic data comprises selecting a sample comprising vehicle-carried mobile sensors from the plurality of mobile sensors and tracking locations of said mobile sensors of said sample over the road network, the method further including a procedure for protecting privacy of individuals associated with said vehicle-carried mobile sensors by keeping the identities of relevant mobile sensors within said wireless telecommunications network.
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2. A method for modeling and processing vehicular traffic data, comprising the steps of:
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generating a representation of a road network associated with the vehicular traffic data, the road network comprising a plurality of road sections; and
acquiring vehicular traffic data associated with said road network from at least a plurality of mobile sensors in communication with a wireless telecommunication network, wherein acquiring vehicular traffic data comprises selecting a sample comprising vehicle-carried mobile sensors from the plurality of mobile sensors and tracking locations of mobiles sensors of said sample over the road network, the method further including a procedure for protecting privacy of individuals associated with said vehicle-carried mobile sensors by deleting the identities of said identified mobile sensors and/or by deleting said locations of mobile sensors of said tracked mobile sensors following processing.
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3. A method for modeling and processing vehicular traffic data, comprising the steps of:
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generating a representation of a road network associated with the vehicular traffic data, the road network comprising a plurality of road sections; and
acquiring vehicular traffic data associated with said road network from at least a plurality of mobile sensors in communication with a wireless telecommunication network, wherein acquiring vehicular traffic data comprises selecting a sample comprising vehicle-carried mobile sensors from the plurality of mobile sensors and tracking locations of mobile sensors of said sample for modeling and processing purposes, and wherein gaps in a current traffic situation for a road section due to a lack of current data are filled by using prediction based on historic vehicular traffic data. - View Dependent Claims (4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A method for modeling and processing vehicular traffic data, comprising the steps of:
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generating a representation of a road network associated with the vehicular traffic data, the road network comprising a plurality of road sections; and
acquiring vehicular traffic data associated with said road network from at least a plurality of sensors and predicting a predicting a future traffic situation, wherein acquiring vehicular traffic data comprises tracking locations of a sample of said sensors for modeling a current vehicular situation, and wherein predicting a traffic situation comprises predicting normalized travel times over a plurality of road sections based on time dependent vehicle behavior patterns, such that the predicted traffic parameter for a particular road section takes into account the time of passage of that road section.
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18. A method for modeling and processing vehicular traffic data, comprising the steps of:
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generating a representation of a road network associated with the vehicular traffic data, the road network comprising a plurality of road sections; and
acquiring vehicular traffic data associated with said road network from at least a plurality of mobile sensors in communication with a wireless telecommunication network and predicting a future traffic situation, wherein acquiring vehicular traffic data comprises tracking locations of a sample of said mobile sensors for modeling a current vehicular situation, and wherein predicting comprises predicting travel times over a plurality of road sections based on time dependent vehicle behavior patterns, the method being further operable to compare detected traffic developments to regular said time dependent behavior patterns of said road section network, and to identify discrepancies from said regular time dependent behavior patterns, whereby propagation in time along adjacent and non-adjacent said road sections of traffic events identified by discrepancies from said time dependent behavior patterns can be determined using time dependent correlation rules of said road section network.
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19. A system for modeling and processing vehicular traffic data, comprising:
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a mechanism for representing a road network associated with the vehicular traffic data and information, the road network comprising a plurality of road sections; and
software for acquiring vehicular traffic data associated with said road network from a sample of a plurality of mobile sensors in communication with a cellular wireless telecommunications network, the software comprising instructions for selecting said sample and for tracking locations of mobile sensors of said sample over the road network, the system further comprising a mechanism for protecting the privacy of individuals associated with said vehicle-carried mobile sensors by keeping the identities of relevant mobile sensors within said wireless cellular telecommunications network.
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20. A system for modeling and processing vehicular traffic data, comprising:
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a mechanism for representing a road network associated with the vehicular traffic data and information, the road network comprising a plurality of road sections; and
software for acquiring vehicular traffic data associated with said road network from a sample of a plurality of mobile sensors in communication with a cellular wireless telecommunications network, the software comprising instructions for selecting said sample and for tracking locations of mobile sensors of said sample over the road network, the system further comprising a mechanism for protecting the privacy of individuals associated with said vehicle-carried mobile sensors by deleting the identities of relevant mobile sensors and/or by deleting said locations of said tracked mobile sensors following processing.
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21. A system for modeling and processing vehicular traffic data, comprising:
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a mechanism for representing a road network associated with the vehicular traffic data and information, the road network comprising a plurality of road sections; and
software for acquiring vehicular traffic data associated with said road network from a sample of a plurality of mobile sensors in communication with a wireless telecommunications network, the software comprising instructions for selecting said sample and for tracking locations of mobile sensors of said sample over the road network, the system further comprising a module for filling in gaps in a current vehicular traffic data by predictions based on time dependent vehicular patterns derived from historic data, such that a predicted traffic parameter for a particular road section takes into account the time of passage of that road section. - View Dependent Claims (22, 23)
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24. A system for modeling and processing vehicular traffic data, comprising:
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a mechanism for representing a road network associated with the vehicular traffic data, the road network comprising a plurality of road sections; and
software for acquiring vehicular traffic data associated with said road network from a sample of a plurality of mobile sensors in communication with a wireless telecommunications network, the software comprising instructions for selecting said sample and for tracking locations of mobile sensors of said sample over the road network, the system further comprising software for filling in gaps in current vehicular traffic data by predictions based on time dependent vehicular patterns derived from historic data, wherein the system is further operable to compare detected developments to regular said time dependent behavior patterns of said road section network and to identify discrepancies from said regular time dependent behavior patterns.
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25. A system for modeling and processing vehicular traffic data, comprising:
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a mechanism for representing a road network associated with the vehicular traffic data, the road network comprising a plurality of road sections; and
software for acquiring vehicular traffic data associated with said road network from a sample of a plurality of mobile sensors in communication with a wireless telecommunications network, the software comprising instructions for selecting said sample and for tracking locations of mobile sensors of said sample over the road network, the system further comprising a module to compare detected developments to regular said time dependent behavior patterns of said road section network and to identify discrepancies from said regular time dependent behavior patterns, whereby the system further determines propagation in time of traffic events identified by discrepancies from said time dependent behavior patterns of said road section network, using time dependent correlation rules and time dependent behavior patterns of said road section network.
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26. A system for modeling and processing vehicular traffic data, comprising:
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a mechanism for representing a road network associated with the vehicular traffic data, the road network comprising a plurality of road sections; and
software for acquiring vehicular traffic data associated with said road network from a sample of a plurality of mobile sensors in communication with a wireless telecommunications network, the software comprising instructions for selecting said sample and for tracking locations of mobile sensors of said sample over the road network, the system further comprising a module operable to compare detected developments to regular said time dependent behavior patterns of said road section network and to identify discrepancies from said regular time dependent behavior patterns, whereby the system further determines propagation in time along adjacent and non-adjacent said road sections, of traffic events identified by discrepancies from said time dependent behavior patterns of said road section network, using time dependent correlation rules of said road section network.
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Specification