SYSTEM AND METHOD FOR MANAGING TRAFFIC BY PROVIDING RECOMMENDATIONS TO CONNECTED OBJECTS
A traffic control system and a method for managing traffic by providing recommendations to vehicles are disclosed. One aspect of the present disclosure is a method of adaptive traffic control including detecting an object at an intersection; determining at least one destination associated with the object; based on at least one traffic flow rate at the intersection and the at least one destination, determining a suggestion for the object, the suggestion including one of (1) at least one alternative destination and a corresponding travel route or (2) at least one alternative route to the at least one destination; selecting a corresponding promotion for the suggestion; and communicating, as a recommendation, the suggestion and the corresponding promotion to the object.
1 . A method comprising:
detecting an object at an intersection;
determining at least one destination associated with the object;
based on at least one traffic flow rate at the intersection and the at least one destination, determining a suggestion for the object, the suggestion including one of (1) at least one alternative destination and a corresponding travel route or (2) at least one alternative route to the at least one destination;
selecting a corresponding promotion for the suggestion; and
communicating, as a recommendation, the suggestion and the corresponding promotion to the object.
2 . The method of claim 1 , further comprising:
determining if the at least one traffic flow rate at the intersection for reaching the at least one destination is equal to or less than a corresponding threshold; and
determining the suggestion if the one or more traffic flow rates is equal to or less than the corresponding threshold.
3 . The method of claim 1 , wherein the object is an autonomous vehicle.
4 . The method of claim 1 , further comprising:
identifying a plurality of zones at the intersection;
receiving from at least one sensor at the intersection, information regarding current traffic conditions at the intersection; and
for each of the plurality of zones, determining a corresponding traffic flow rate to be used as the one or more traffic flow rates for determining the suggestion.
5 . The method of claim 1 , wherein the corresponding promotion is retrieved from an external database that stores promotions for available destinations.
6 . The method of claim 1 , further comprising:
receiving, from the object and in addition to the at least one destination, a list of items to be purchased at the at least one destination, the suggestion being based on the list of items.
7 . The method of claim 1 , wherein determining the suggestion is further based on at least one flow rate at one or more nearby intersections.
8 . A device comprising:
memory having computer-readable instructions stored therein; and
one or more processors configured to execute the computer-readable instructions to:
detect an object at an intersection;
determine at least one destination associated with the object;
based on at least one traffic flow rate at the intersection and the at least one destination, determine a suggestion for the object, the suggestion including one of (1) at least one alternative destination and a corresponding travel route or (2) at least one alternative route to the at least one destination;
select a corresponding promotion for the suggestion; and
communicate, as a recommendation, the suggestion and the corresponding promotion to the object.
9 . The device of claim 8 , wherein the one or more processors are configured to execute the computer-readable instructions to:
determine if the at least one traffic flow rate at the intersection for reaching the at least one destination is equal to or less than a corresponding threshold; and
determine the suggestion if the one or more traffic flow rates is equal to or less than the corresponding threshold.
10 . The device of claim 8 , wherein the object is an autonomous vehicle.
11 . The device of claim 8 , wherein the one or more processors are configured to execute the computer-readable instructions to:
identify a plurality of zones at the intersection;
receive from at least one sensor at the intersection, information regarding current traffic conditions at the intersection; and
for each of the plurality of zones, determine a corresponding traffic flow rate to be used as the one or more traffic flow rates for determining the suggestion.
12 . The device of claim 8 , wherein the corresponding promotion is retrieved from an external database that stores promotions for available destinations.
13 . The device of claim 8 , wherein the one or more processors are configured to execute the computer-readable instructions to:
receive, from the object and in addition to the at least one destination, a list of items to be purchased at the at least one destination, the suggestion being based on the list of items.
14 . The device of claim 13 , wherein the one or more processors are configured to execute the computer-readable instructions to further determine the suggestion based on at least one flow rate at one or more nearby intersections.
15 . One or more non-transitory computer-readable medium having computer-readable instructions stored thereon, which when executed by one or more processors, cause the one or more processors to:
detect an object at an intersection;
determine at least one destination associated with the object;
based on at least one traffic flow rate at the intersection and the at least one destination, determine a suggestion for the object, the suggestion including one of (1) at least one alternative destination and a corresponding travel route or (2) at least one alternative route to the at least one destination;
select a corresponding promotion for the suggestion; and
communicate, as a recommendation, the suggestion and the corresponding promotion to the object.
16 . The one or more non-transitory computer-readable medium of claim 15 , wherein the execution of the computer-readable instructions by the one or more processors, cause the one or more processors to:
determine if the at least one traffic flow rate at the intersection for reaching the at least one destination is equal to or less than a corresponding threshold; and
determine the suggestion if the one or more traffic flow rates is equal to or less than the corresponding threshold.
17 . The one or more non-transitory computer-readable medium of claim 15 , wherein the object is an autonomous vehicle.
18 . The one or more non-transitory computer-readable medium of claim 15 , wherein the execution of the computer-readable instructions by the one or more processors, cause the one or more processors to:
identify a plurality of zones at the intersection;
receive from at least one sensor at the intersection, information regarding current traffic conditions at the intersection; and
for each of the plurality of zones, determine a corresponding traffic flow rate to be used as the one or more traffic flow rates for determining the suggestion.
19 . The one or more non-transitory computer-readable medium of claim 15 , wherein the execution of the computer-readable instructions by the one or more processors, cause the one or more processors to further determine the suggestion based on at least one flow rate at one or more nearby intersections.
20 . The one or more non-transitory computer-readable medium of claim 15 , wherein the execution of the computer-readable instructions by the one or more processors, cause the one or more processors to:
receive, from the object and in addition to the at least one destination, a list of items to be purchased at the at least one destination; and
determine the suggestion based on the list of items.