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Performing-time-series based predictions with projection thresholds using secondary time-series-based information stream

  • US 9,390,622 B2
  • Filed: 04/16/2013
  • Issued: 07/12/2016
  • Est. Priority Date: 04/16/2013
  • Status: Expired due to Fees
First Claim
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1. A method implemented in a computer system for managing traffic flow on a road network, the method comprising:

  • receiving, at the computer system, a first time-series data set having one or more values for each time point to be predicted, the first time-series data set comprising traffic occupancy levels obtained from a sensor device associated with a road of said road network;

    receiving, at the computer system, a second time-series data set of one or more values per time point with correlation to the first time-series data, the second time-series data set comprising traffic volume levels at the road;

    estimating, by the computer system, a functional relationship between the first time-series data and the second time-series data, for each value, over a multiplicity of time points;

    determining, at the computer system, an extremal value of the functional relationship of the second time-series data as a function of the first time-series data, said extremal value representing an occupancy level at which a full congested traffic state is reached at the associated sensor device;

    modifying, at the computer system, said first time-series data by projecting the occupancy level of the first time series data obtained from the associated sensor device on the extremal value so that first time-series data values that are beyond the extremal value are set to the extremal value;

    using, by the computer system, said modified first time-series data in any prediction model to increase accuracy of a future predicted traffic occupancy state; and

    regulating a traffic flow of said road network based on said future predicted traffic occupancy state.

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