Methods and systems for generating a traffic prediction
First Claim
1. A method of generating a traffic prediction for a target zone, the target zone being defined by first boundary coordinates having been geometrically predetermined, traffic in the target zone being caused by a plurality of vehicles located in the target zone at a given moment in time, the plurality of vehicles comprising feedback vehicles and non-feedback vehicles, each of the feedback vehicles being associated with a respective navigational device, the navigational devices being communicatively coupled to a server by a communication network and configured to provide respective feedback signals to the server, the method being executable on the server and comprising:
- tracking, by the server, a feedback signal of each one of a first plurality of navigational devices entering a traffic sample zone, the traffic sample zone being defined by second boundary coordinates having been geometrically predetermined, the traffic sample zone being associated with traffic characteristics, the traffic characteristics being indicative of a maximum possible number of vehicles that can be located in the traffic sample zone at once, each feedback signal comprising positional coordinates of a respective one of the first plurality of navigational devices;
determining, by the server, an actual number of feedback vehicles located in the target zone based on a feedback signal of each one of a second plurality of navigational devices entering the target zone; and
generating, by the server, the traffic prediction for the target zone based on (i) the actual number of feedback vehicles in the target zone and (ii) a feedback ratio, the traffic predication being indicative of an estimated number of non-feedback vehicles within the plurality of vehicles causing traffic in the target zone, the feedback ratio having been determined by processing the feedback signals tracked for the first plurality of navigational devices, the processing comprising;
determining, by the server, an actual number of feedback vehicles located in the traffic sample zone at a first moment in time by comparing the positional coordinates of each one of the first plurality of navigational devices against the second boundary coordinates at the first moment in time;
computing, by the server, a fill rate parameter of the traffic sample zone at the first moment in time based on (i) the positional coordinates of at least one navigational device within the second boundary coordinates, (ii) the second boundary coordinates and (iii) the traffic characteristics, the fill rate parameter being indicative of an estimated total number of vehicles located in the traffic sample zone at the first moment in time; and
determining, by the server, the feedback ratio associated with the traffic sample zone and being a ratio between (i) the estimated total number of vehicles located in the traffic sample zone and (ii) the actual number of feedback vehicles located in the traffic sample zone, the feedback ratio being indicative of an estimated proportion of feedback vehicles and of non-feedback vehicles located in the traffic sample zone.
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Accused Products
Abstract
A method and server for generating a traffic prediction for a target zone is provided. The traffic is caused by feedback and non-feedback vehicles in the target zone. Feedback vehicles are associated with devices that provide signals. The method comprises: tracking signals of devices entering a sample zone which comprise coordinates of devices; processing the signals tracked for the devices, the processing comprises: determining an actual number of feedback vehicles in the sample zone; computing a fill rate parameter which is indicative of an estimated total number of vehicles in the sample zone; and determining a feedback ratio which is indicative of an estimated proportion of feedback and non-feedback vehicles in the sample zone; determining an actual number of feedback vehicles entering the target zone; and generating the traffic prediction for the target zone which is indicative of an estimated number of non-feedback vehicles causing traffic in the target zone.
14 Citations
20 Claims
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1. A method of generating a traffic prediction for a target zone, the target zone being defined by first boundary coordinates having been geometrically predetermined, traffic in the target zone being caused by a plurality of vehicles located in the target zone at a given moment in time, the plurality of vehicles comprising feedback vehicles and non-feedback vehicles, each of the feedback vehicles being associated with a respective navigational device, the navigational devices being communicatively coupled to a server by a communication network and configured to provide respective feedback signals to the server, the method being executable on the server and comprising:
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tracking, by the server, a feedback signal of each one of a first plurality of navigational devices entering a traffic sample zone, the traffic sample zone being defined by second boundary coordinates having been geometrically predetermined, the traffic sample zone being associated with traffic characteristics, the traffic characteristics being indicative of a maximum possible number of vehicles that can be located in the traffic sample zone at once, each feedback signal comprising positional coordinates of a respective one of the first plurality of navigational devices; determining, by the server, an actual number of feedback vehicles located in the target zone based on a feedback signal of each one of a second plurality of navigational devices entering the target zone; and generating, by the server, the traffic prediction for the target zone based on (i) the actual number of feedback vehicles in the target zone and (ii) a feedback ratio, the traffic predication being indicative of an estimated number of non-feedback vehicles within the plurality of vehicles causing traffic in the target zone, the feedback ratio having been determined by processing the feedback signals tracked for the first plurality of navigational devices, the processing comprising; determining, by the server, an actual number of feedback vehicles located in the traffic sample zone at a first moment in time by comparing the positional coordinates of each one of the first plurality of navigational devices against the second boundary coordinates at the first moment in time; computing, by the server, a fill rate parameter of the traffic sample zone at the first moment in time based on (i) the positional coordinates of at least one navigational device within the second boundary coordinates, (ii) the second boundary coordinates and (iii) the traffic characteristics, the fill rate parameter being indicative of an estimated total number of vehicles located in the traffic sample zone at the first moment in time; and determining, by the server, the feedback ratio associated with the traffic sample zone and being a ratio between (i) the estimated total number of vehicles located in the traffic sample zone and (ii) the actual number of feedback vehicles located in the traffic sample zone, the feedback ratio being indicative of an estimated proportion of feedback vehicles and of non-feedback vehicles located in the traffic sample zone. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A method of determining an exposure parameter for a visual point of interest (VPOI), the VPOI being visible to a plurality of observers located in an exposure zone at a given moment in time, the exposure zone being defined by first boundary coordinates having been geometrically predetermined based on at least a location of the VPOI, the plurality of observers comprising feedback observers and non-feedback observers, each of the feedback observers being associated with a respective navigational device, the navigational devices being communicatively coupled to a server by a communication network and configured to provide respective feedback signals to the server, the method being executable on the server and comprising:
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tracking, by the server, a feedback signal of each one of a first plurality of navigational devices entering a traffic sample zone, the traffic sample zone being defined by second boundary coordinates having been geometrically predetermined, the traffic sample zone being associated with traffic characteristics, the traffic characteristics being indicative of a maximum possible number of observers that can be located in the traffic sample zone at once, each feedback signal comprising positional coordinates of a respective one of the first plurality of navigational devices; determining, by the server, an actual number of feedback observers located in the exposure zone based on a feedback signal of each one of a second plurality of navigational devices entering the exposure zone; and determining, by the server, the exposure parameter for the VPOI based on (i) the actual number of feedback observers in the exposure zone and (ii) a feedback ratio, the exposure parameter being indicative of an estimated number of observers that possibly viewed the VPOI, the feedback ratio having been determined by processing the feedback signals tracked for the first plurality of navigational devices, the processing comprising; determining, by the server, an actual number of feedback observers located in the traffic sample zone at a first moment in time by comparing the positional coordinates of each one of the first plurality of navigational devices against the second boundary coordinates at the first moment in time; computing, by the server, a fill rate parameter of the traffic sample zone at the first moment in time based on (i) the positional coordinates of at least one navigational device within the second boundary coordinates, (ii) the second boundary coordinates and (iii) the traffic characteristics, the fill rate parameter being indicative of an estimated total number of observers located in the traffic sample zone at the first moment in time; and determining, by the server, the feedback ratio associated with the traffic sample zone and being a ratio between (i) the estimated total number of observers located in the traffic sample zone and (ii) the actual number of feedback observers located in the traffic sample zone, the feedback ratio being indicative of an estimated proportion of feedback observers and of non-feedback observers located in the traffic sample zone. - View Dependent Claims (16, 17)
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18. A server for generating a traffic prediction for a target zone, the target zone being defined by first boundary coordinates having been geometrically predetermined, traffic in the target zone being caused by a plurality of vehicles located in the target zone at a given moment in time, the plurality of vehicles comprising feedback vehicles and non-feedback vehicles, each of the feedback vehicles being associated with a respective navigational device, the navigational devices being communicatively coupled to the server by a communication network and configured to provide respective feedback signals to the server, the server being configured to:
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track a feedback signal of each one of a first plurality of navigational devices entering a traffic sample zone, the traffic sample zone being defined by second boundary coordinates having been geometrically predetermined, the traffic sample zone being associated with traffic characteristics, the traffic characteristics being indicative of a maximum possible number of vehicles that can be located in the traffic sample zone at once, each feedback signal comprising positional coordinates of a respective one of the first plurality of navigational devices; determine an actual number of feedback vehicles located in the target zone based on a feedback signal of each one of a second plurality of navigational devices entering the target zone; and generate the traffic prediction for the target zone based on (i) the actual number of feedback vehicles in the target zone and (ii) a feedback ratio, the traffic predication being indicative of an estimated number of non-feedback vehicles within the plurality of vehicles causing traffic in the target zone, wherein the feedback ratio has been determined by the server processing the feedback signal tracked for the first plurality of navigational devices, and wherein the server processing the feedback signal is configured to; determine an actual number of feedback vehicles located in the traffic sample zone at a first moment in time by comparing the positional coordinates of each one of the first plurality of navigational devices against the second boundary coordinates at the first moment in time; compute a fill rate parameter of the traffic sample zone at the first moment in time based on (i) the positional coordinates of at least one navigational device within the second boundary coordinates, (ii) the second boundary coordinates and (iii) the traffic characteristics, the fill rate parameter being indicative of an estimated total number of vehicles located in the traffic sample zone at the first moment in time; and determine a feedback ratio associated with the traffic sample zone and being a ratio between (i) the estimated total number of vehicles located in the traffic sample zone and (ii) the actual number of feedback vehicles located in the traffic sample zone, the feedback ratio being indicative of an estimated proportion of feedback vehicles and of non-feedback vehicles located in the traffic sample zone. - View Dependent Claims (19, 20)
the server configured to compute the fill rate parameter is further configured to identify rearmost positional coordinates amongst the positional coordinates of the at least one navigational device within the second boundary coordinates, the rearmost positional coordinates being the positional coordinates of a rearmost navigational device amongst the at least one navigational device within the second boundary coordinates according to the traffic direction in the traffic sample zone.
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20. The server of claim 19, wherein the server configured to compute the fill rate parameter is further configured to:
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determine an estimated number of vehicles located in a same traffic lane as the rearmost navigational device and located in the traffic sample zone based on (i) the rearmost positional coordinates, (ii) the average size of vehicles, and (iii) the average vehicle-to-vehicle distance in the traffic sample zone; and multiply the estimated number of vehicles located in the same traffic lane as the rearmost navigational device and located in the traffic sample zone by the number of traffic lanes overlapped by the traffic sample zone.
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Specification