Abstract: A method of determining optimal location for reaching destined locations by traversing traffic in a least time of determining is disclosed. Traffic information and incident information may be received using an input device. The traffic information and the incident information may be used to determine traffic and incidents associated with an area, and successively to determine a correlation score. The correlation score is calculated by analyzing the traffic information and the incident information. Further, an optimal location is determined based on the correlation score, for staging a first responder. Thus, the first responders could reach any of the destined locations in least time, when an incident occurs.

Abstract: A current or forecasted weather condition at an intersection or roadway may be identified using cameras and/or other weather sensors connected with traffic infrastructure installed at the intersection or roadway. Adverse traffic events typically associated with weather conditions of the same type as the identified weather condition may be determined, for example based on historical records of correlations between weather and traffic. The traffic infrastructure may adjust an option, for example by adjusting traffic signal timings, to mitigate the adverse traffic event in response to identifying the weather condition.

Abstract: Systems and methods of adaptive traffic control based on detected anomalies in traffic conditions and utilizing unmanned aerial vehicles (UAVs) to determine root causes thereof are disclosed. One aspect of the present disclosure is a method including receiving traffic data at an intersection; determining statistics associated with traffic at the intersection based on the traffic data; detecting an anomaly in the traffic based on the statistics; utilizing an unmanned aerial vehicle (UAV) to determine a root cause of the anomaly; and communicating an anomaly rule based on the root cause to a light controller to control traffic at the intersection.

Abstract: A system and a method for adaptively controlling of traffic are disclosed. The method includes receiving traffic data from one or more sensors at the intersection; detecting at least one pattern in the traffic data for a given period of time; identifying at least one variable in the pattern; determining if the at least one variable is associated with one or more available traffic patterns at the intersection; based on the determining, retrieving a current traffic control program implemented at the intersection; adaptively controlling the traffic at the intersection during the given period of time by adjusting one or more parameters of the current traffic control program to yield a modified traffic control program; and storing the modified traffic control program in a database for future use.

Abstract: A traffic control system and a method for optimizing navigational routing based on per-intersection real-time traffic conditions data. One aspect is a method of providing navigational guidance. The method includes identifying at least one intersection along at least one initial route to a destination; modifying the at least one initial route based on user preferences and traffic conditions data associated with the at least one intersection to yield at least one modified route; receiving a selection of a route from among the at least one modified route; receiving updated traffic conditions data for at least one corresponding intersection along the route selected; and modifying the route selected based on the updated traffic conditions data.

Abstract: A traffic control system and a method of automatic zone creation for a smart traffic camera to be used in adaptive traffic management at an intersection are disclosed. In one aspect of the present disclosure, a method includes receiving traffic data at an intersection; creating zones at the intersection to be applied to one or more smart traffic cameras installed at the intersection; determining whether the zones are to be validated; validating the zones upon determining that the zones are to be validated; and applying the validated zones to the one or more smart traffic cameras at the intersection.

Abstract: A traffic control system and a method of automatic zone creation and modification for a smart traffic camera to be used in adaptive traffic management at an intersection are disclosed. One aspect of the present disclosure is a method including applying default zone parameters to define detection zones at one or more sensors installed at an intersection, the detection zones being used by the one or more sensors for monitoring and detecting traffic conditions at the intersection; determining a current vehicular traffic flow rate and a current pedestrian traffic flow rate at the intersection; determining if a triggering condition for adjusting one or more of the default zone parameters; and adjusting the one or more of the default zone parameters if the triggering condition is met.

Abstract: A traffic control system and a method are provided for detecting changes in traffic patterns at an intersection, establishing traffic rules therefore, and communicating the same to objects at the intersection. The method comprises receiving, by a processor, traffic data at an intersection; determining, by the processor, an average path taken by one or more objects at the intersection; determining, by the processor, a deviation of the average path from a historical average path; based on the deviation, determining by the processor, a traffic rule is to be implemented for incoming objects detected; and communicating, by the processor, the traffic rule to the incoming objects.

Abstract: A traffic control system and a method for retail revenue based traffic management are disclosed. One aspect of the present disclosure is a method of retail revenue based traffic optimization. The method includes determining at least one current traffic statistic at an intersection, determining that the at least one current traffic statistic contributes to at least one trend in retail revenue at one or more stores associated with the intersection and performing traffic optimization based on determining that the at least one current traffic statistic contributes to the at least one trend in retail revenue.

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.

Abstract: A system and a method for adaptively controlling of traffic are disclosed. The method includes receiving traffic data from one or more sensors at the intersection; detecting at least one pattern in the traffic data for a given period of time; identifying at least one variable in the pattern; determining if the at least one variable is associated with one or more available traffic patterns at the intersection; based on the determining, retrieving a current traffic control program implemented at the intersection; adaptively controlling the traffic at the intersection during the given period of time by adjusting one or more parameters of the current traffic control program to yield a modified traffic control program; and storing the modified traffic control program in a database for future use.

Abstract: Systems and methods of adaptive traffic control based on detected anomalies in traffic conditions are disclosed. One aspect of the present disclosure is a method of adaptive traffic control that includes receiving traffic data at an intersection; determining statistics associated with traffic at the intersection based on the traffic data; detecting an anomaly in the traffic based on the statistics; determining an anomaly rule based on a portion of the statistics associated with the traffic at the intersection over at least one time interval prior to detection of the anomaly; and utilizing the anomaly rule to adaptively control the traffic at the intersection to prevent future occurrences of the anomaly at the intersection.

Abstract: 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.

Abstract: Systems and methods of adaptive traffic control based on detected anomalies in traffic conditions and utilizing unmanned aerial vehicles (UAVs) to determine root causes thereof are disclosed. One aspect of the present disclosure is a method including receiving traffic data at an intersection; determining statistics associated with traffic at the intersection based on the traffic data; detecting an anomaly in the traffic based on the statistics; utilizing an unmanned aerial vehicle (UAV) to determine a root cause of the anomaly; and communicating an anomaly rule based on the root cause to a light controller to control traffic at the intersection.

Abstract: A mounting bracket for securing a camera or other device to a hollow pole includes an L-shaped member, attached to the device, with a vertical surface that engages the outer surface of the pole and a horizontal surface that rests on the top surface of the pole while a downwardly-projecting member slides into the top of the pole allowing the device to hang stably on the pole during alignment. A bolt passes axially through the downwardly projecting member and engages a gripping member. The downwardly-projecting member and gripping member have mating surfaces inclined relative to the axis of the bolt, so that when the bolt is tightened, the gripping member slides laterally to engage against the inner surface of the pole. A cover plate engages the outer surface of the opposite side of the pole and is secured to the L-shaped to fully secure the assembly.

Abstract: A mounting bracket for securing a camera or other device to a hollow pole includes an L-shaped member, attached to the device, with a vertical surface that engages the outer surface of the pole and a horizontal surface that rests on the top surface of the pole while a downwardly-projecting member slides into the top of the pole allowing the device to hang stably on the pole during alignment. A bolt passes axially through the downwardly projecting member and engages a gripping member. The downwardly-projecting member and gripping member have mating surfaces inclined relative to the axis of the bolt, so that when the bolt is tightened, the gripping member slides laterally to engage against the inner surface of the pole. A cover plate engages the outer surface of the opposite side of the pole and is secured to the L-shaped to fully secure the assembly.

Abstract: A method and apparatus for the elimination of temporal and spacial distortions from interlaced video signals, particularly those that occur in signals associated with affine transformations. This elimination is particularly of value for signals that have been magnified so as to prevent the visual appearance of reverse movement of moving images. The removal of these distortions is achieved by sequentially inputting the images fields into three field buffers, updating the data in a rotary manner. This data is withdrawn from any two of the field buffers, while the third field buffer is being updated, and averaging the data from the two. When such averaged data is displayed, there is no apparent reverse direction motion to the image. The method and apparatus are applied to a system wherein there is affine transformation to achieve selected pan, tilt, rotation and magnification of images during the correction of distorted images received from a wide angle lens.