System and method for controlling vehicular traffic
First Claim
1. A device comprising:
- memory having computer-readable instructions stored therein; and
one or more processors configured to execute the computer-readable instructions to;
receive video data of traffic flowing through an intersection;
based on the video data, determine if a rate of flow of the traffic is greater than a predetermined threshold;
determine a correlation coefficient for one object type of a plurality of object types if the rate of flow is not greater than the predetermined threshold, wherein the correlation coefficient for the one object type is indicative of a direct or inverse correlation between the rate of flow and a number of objects associated with the one object type;
determine a rule for controlling the traffic flow through the intersection based on the correlation coefficient; and
cause adjustments to traffic control settings of a traffic light at the intersection based on the rule.
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Accused Products
Abstract
The present disclosure is directed to systems, methods and computer-readable mediums for controlling traffic using traffic rules generated based on types of vehicles and associated traffic flow rates. In one aspect, a device includes memory having computer-readable instructions stored therein and one or more processors. The one or more processors are configured to execute the computer-readable instructions to receive video data of traffic flowing through an intersection; based on the video data, determine if a rate of flow of the traffic is greater than a predetermined threshold; determine a correlation between the rate of flow and one of a plurality of object types if the rate of flow is not greater than the predetermined threshold; determine a rule for controlling the traffic flow through the intersection based on the correlation; and cause adjustments to traffic control settings of a traffic light at the intersection based on the rule.
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Citations
20 Claims
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1. A device comprising:
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memory having computer-readable instructions stored therein; and one or more processors configured to execute the computer-readable instructions to; receive video data of traffic flowing through an intersection; based on the video data, determine if a rate of flow of the traffic is greater than a predetermined threshold; determine a correlation coefficient for one object type of a plurality of object types if the rate of flow is not greater than the predetermined threshold, wherein the correlation coefficient for the one object type is indicative of a direct or inverse correlation between the rate of flow and a number of objects associated with the one object type; determine a rule for controlling the traffic flow through the intersection based on the correlation coefficient; and cause adjustments to traffic control settings of a traffic light at the intersection based on the rule. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. One or more non-transitory computer-readable medium having computer-readable instructions stored therein, which when executed by one or more processors, cause the one or more processors to:
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receive video data of traffic flowing through an intersection; based on the video data, determine if a rate of flow of the traffic is greater than a predetermined threshold; determine a correlation coefficient for at least one object type of a plurality of object types if the rate of flow is not greater than the predetermined threshold, wherein the correlation coefficient for the at least one object type is indicative of a direct or inverse correlation between the rate of flow and a number of objects associated with the at least one object type; determine a rule for controlling the traffic flow through the intersection based on the correlation coefficient; and cause adjustments to traffic control settings of a traffic light at the intersection based on the rule. - View Dependent Claims (12, 13, 14, 15, 16, 17)
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18. A method of object-type based traffic control, comprising:
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receiving video data of traffic flowing through an intersection; based on the video data, determining if a rate of flow of the traffic is greater than a predetermined threshold; determining a correlation coefficient for one object type of a plurality of object types if the rate of flow is not greater than the predetermined threshold, wherein the correlation coefficient for the one object type is indicative of a direct or inverse correlation between the rate of flow and a number of objects associated with the one object type; determining a rule for controlling the traffic flow through the intersection based on the correlation coefficient; and causing adjustments to traffic control settings of a traffic light at the intersection based on the rule. - View Dependent Claims (19, 20)
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Specification