Cognitive traffic signal cycle timer
First Claim
1. A method for a self-learning cycle timer comprising:
- determining a wait time, the wait time being a time elapsed between a first indication and a second indication, the first indication associated with a traveler coming to a stop and the second indication associated with the traveler beginning to move following the stop, each of the first and second indication received from a smart device associated with the traveler;
receiving, from the smart device, a geolocation;
identifying a traffic signal associated with the geolocation;
determining an area of influence associated with the traffic signal, the area of influence establishing a distance from the traffic signal within which the traveler may be expected to be interacting with the traffic signal;
determining the wait time occurred inside the area of influence;
retrieving, from a database, an average cycle time and a reference time, each associated with the traffic signal;
calculating a cycle time associated with the traffic signal according to the wait time and the reference time; and
updating the average cycle time according to the calculated cycle time.
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Accused Products
Abstract
A self-learning cycle timer is disclosed. A wait time is measured between a first indication, associated with a stop, and a second indication, associated with movement following the stop, each indication received from a smart device. A geolocation is received from the smart device and a traffic signal identified at the geolocation. The traffic signal'"'"'s area of influence is determined. The wait time is determined to have occurred inside the area of influence. An average cycle time and a reference time associated with the traffic signal are retrieved from a database. A cycle time associated with the traffic signal is calculated according to the wait time and the reference time. The average cycle time is updated according to the calculated cycle time.
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Citations
20 Claims
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1. A method for a self-learning cycle timer comprising:
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determining a wait time, the wait time being a time elapsed between a first indication and a second indication, the first indication associated with a traveler coming to a stop and the second indication associated with the traveler beginning to move following the stop, each of the first and second indication received from a smart device associated with the traveler; receiving, from the smart device, a geolocation; identifying a traffic signal associated with the geolocation; determining an area of influence associated with the traffic signal, the area of influence establishing a distance from the traffic signal within which the traveler may be expected to be interacting with the traffic signal; determining the wait time occurred inside the area of influence; retrieving, from a database, an average cycle time and a reference time, each associated with the traffic signal; calculating a cycle time associated with the traffic signal according to the wait time and the reference time; and updating the average cycle time according to the calculated cycle time. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A computer system for a self-learning cycle timer, the computer system comprising:
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a memory storing an average cycle time and a reference time, each associated with a traffic signal; and a processor in communication with the memory, wherein the computer system is configured to perform a method, the method comprising; determining a wait time, the wait time being a time elapsed between a first indication and a second indication, the first indication associated with a traveler coming to a stop and the second indication associated with the traveler beginning to move following the stop, each of the first and second indication received from a smart device associated with the traveler; receiving, from the smart device, a geolocation; identifying the traffic signal is associated with the geolocation; determining an area of influence associated with the traffic signal, the area of influence establishing a distance from the traffic signal within which the traveler may be expected to be interacting with the traffic signal; determining the wait time occurred inside the area of influence; retrieving, from the memory, the average cycle time and the reference time, each associated with the traffic signal; calculating a cycle time associated with the traffic signal according to the wait time and the reference time; and updating the average cycle time according to the calculated cycle time. - View Dependent Claims (13, 14, 15, 16, 17)
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18. A computer program product for a self-learning cycle timer, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a processor to perform a method comprising:
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determining a wait time, the wait time being a time elapsed between a first indication and a second indication, the first indication associated with a traveler coming to a stop and the second indication associated with the traveler beginning to move following the stop, each of the first and second indication received from a smart device associated with the traveler; receiving, from the smart device, a geolocation; identifying a traffic signal associated with the geolocation; determining an area of influence associated with the traffic signal, the area of influence establishing a distance from the traffic signal within which the traveler may be expected to be interacting with the traffic signal; determining the wait time occurred inside the area of influence; retrieving, from a database, an average cycle time and a reference time, each associated with the traffic signal; calculating a cycle time associated with the traffic signal according to the wait time and the reference time; and updating the average cycle time according to the calculated cycle time. - View Dependent Claims (19, 20)
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Specification