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Real-time traffic prediction and/or estimation using GPS data with low sampling rates

  • US 9,053,632 B2
  • Filed: 06/29/2012
  • Issued: 06/09/2015
  • Est. Priority Date: 06/29/2012
  • Status: Expired due to Fees
First Claim
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1. A method implemented using a computer for determining traffic speeds related to at least one vehicle traveling in a transportation network, the method comprising:

  • receiving by the computer a plurality of real-time GPS-based speed records, wherein the real-time GPS-based speed records relate to real-time vehicle speeds in the transportation network;

    receiving by the computer a plurality of historical speed records from a secondary source of speed data, wherein the historical speed records relate to historical vehicle speeds in the transportation network and wherein the historical speed records cover a time period;

    determining by the computer a first characteristic of real-time GPS-based speed records of a first type;

    determining by the computer a second characteristic of real-time GPS-based speed records of a second type, wherein the speed records of the first type indicate a higher speed than the speed indicated by the speed records of the second type;

    determining by the computer a third characteristic of a combination of the real-time GPS-based speed records of the first type and the second type;

    determining by the computer, for each of a plurality of sub-time periods included in the time period, a fourth characteristic of historical speed records of the first type;

    determining by the computer, for each of the plurality of sub-time periods included in the time period, a fifth characteristic of historical speed records of the second type;

    determining by the computer, for each of the plurality of sub-time periods included in the time period, a sixth characteristic of a combination of the historical speed records of the first type and the second type; and

    determining by the computer traffic speeds related to the at least one vehicle traveling in the transportation network from the historical speed records of a selected one of the plurality of sub-time periods, wherein the selected one of the plurality of sub-time periods is chosen as the period in which a combination of the first, second and third characteristics is most similar to a combination of the fourth, fifth and sixth characteristics;

    wherein the first characteristic is a count of real-time GPS-based speed records of the first type;

    wherein the second characteristic is a count of real-time GPS-based speed records of the second type;

    wherein the third characteristic is one of;

    (a) a ratio of;

    a count of real-time GPS-based speed records of the first type to a count of real-time GPS-based speed records of the second type;

    (b) a mean value of a combination of the real-time GPS-based speed records of the first and second types; and

    (c) a variance value of a combination of the real-time GPS-based speed records of the first and second types;

    wherein the fourth characteristic is a count of historical speed records of the first type;

    wherein the fifth characteristic is a count of historical speed records of the second type;

    wherein the sixth characteristic is one of;

    (a) a ratio of;

    a count of historical speed records of the first type to a count of historical speed records of the second type;

    (b) a mean value of a combination of historical speed records of the first and second types; and

    (c) a variance value of a combination of historical speed records of the first and second types; and

    wherein the period in which a combination of the first, second and third characteristics is most similar to a combination of the fourth, fifth and sixth characteristics is determined by utilizing a weighted sum of ranks calculation.

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