Patent classifications
G08G1/08
Collaborative distributed agent-based traffic light system and method of use
In this disclosure, collaborative multi-agent-based TST is presented with dedicated intersection controllers that include software agents which read local and remote detection systems and then collaboratively optimize signal timing phases by considering the feedback of all controller agents that may be affected by a change. The disclosure also presents an augmented system which considers network input from handheld remote devices to update certain traffic light phase information and adapt to emerging emergency situations.
Collaborative distributed agent-based traffic light system and method of use
In this disclosure, collaborative multi-agent-based TST is presented with dedicated intersection controllers that include software agents which read local and remote detection systems and then collaboratively optimize signal timing phases by considering the feedback of all controller agents that may be affected by a change. The disclosure also presents an augmented system which considers network input from handheld remote devices to update certain traffic light phase information and adapt to emerging emergency situations.
METHOD FOR DETERMINING AT LEAST ONE REMAINING TIME VALUE, TO BE DETERMINED, FOR A SYSTEM
A computer-implemented method for determining at least one remaining time value, to be determined, for a system is provided, having the following steps: a. providing at least one known input data record containing a multiplicity of input elements for at least one determined time; b. providing at least one associated known remaining time value for the at least one input data record; c. determining the at least one remaining time value to be determined by applying an error function to the at least one input data record and the at least one associated remaining time value; and d. providing an output data record containing the at least one determined remaining time value and an associated reliability value. The invention furthermore targets a corresponding determination unit and computer program product.
Synchronized Work Zone Traffic Management Systems And Methods
Synchronized work zone traffic management systems and methods are disclosed herein. An example method includes synchronizing, by a first vehicle, communication with a second vehicle over a wireless link, and displaying alternatingly, by the first vehicle, one of two messages on a first external display according to an alternating schema. A first message indicates to drivers to drive slowly and a second message indicates to the drivers to stop. The first message being displayed on the first external display when the second vehicle is displaying the second message on a second external display. The first vehicle displaying the second message on the first external display when the second vehicle is displaying the first message on the second external display. The alternating displaying of the first and second messages being used to control flow of traffic on a one-way street.
Synchronized Work Zone Traffic Management Systems And Methods
Synchronized work zone traffic management systems and methods are disclosed herein. An example method includes synchronizing, by a first vehicle, communication with a second vehicle over a wireless link, and displaying alternatingly, by the first vehicle, one of two messages on a first external display according to an alternating schema. A first message indicates to drivers to drive slowly and a second message indicates to the drivers to stop. The first message being displayed on the first external display when the second vehicle is displaying the second message on a second external display. The first vehicle displaying the second message on the first external display when the second vehicle is displaying the first message on the second external display. The alternating displaying of the first and second messages being used to control flow of traffic on a one-way street.
Dynamic virtual vehicle detection and adaptive traffic management system
A traffic detection device for sending a call signal to a traffic signal controller, the traffic detection device having a receiver to receive information sent from a mobile device, the information including identity information and/or location information of the mobile device, a traffic control device (TCD) interface to connect the traffic detection device to the traffic signal controller, and a processor to define a dynamic approach based on one or more of the identity information, speed limit, time of day, or speed of the mobile device. The device may determine whether to send a calf signal to the traffic signal controller via the TCD interface to prompt the traffic signal controller, when the processor determines that the mobile device is in the dynamic approach.
Dynamic virtual vehicle detection and adaptive traffic management system
A traffic detection device for sending a call signal to a traffic signal controller, the traffic detection device having a receiver to receive information sent from a mobile device, the information including identity information and/or location information of the mobile device, a traffic control device (TCD) interface to connect the traffic detection device to the traffic signal controller, and a processor to define a dynamic approach based on one or more of the identity information, speed limit, time of day, or speed of the mobile device. The device may determine whether to send a calf signal to the traffic signal controller via the TCD interface to prompt the traffic signal controller, when the processor determines that the mobile device is in the dynamic approach.
APPARATUS AND METHOD FOR PREDICTING TRAFFIC SPEED
An apparatus and a method for predicting a traffic speed are disclosed. The apparatus includes a controller that learns a deep auto-encoder to output a past traffic speed and a future traffic speed by inputting the past traffic speed, and predicts the future traffic speed based on the deep auto-encoder which completes the learning, and storage that stores the deep auto-encoder which completes the learning.
APPARATUS AND METHOD FOR PREDICTING TRAFFIC SPEED
An apparatus and a method for predicting a traffic speed are disclosed. The apparatus includes a controller that learns a deep auto-encoder to output a past traffic speed and a future traffic speed by inputting the past traffic speed, and predicts the future traffic speed based on the deep auto-encoder which completes the learning, and storage that stores the deep auto-encoder which completes the learning.
DERIVING TRAFFIC SIGNAL TIMING PLANS FROM CONNECTED VEHICLE TRAJECTORY DATA
Traffic signal timing plans are derived from vehicle trajectory or probe data. The probe data is collected and archived in a datastore over a sample time on the order of weeks or longer. Probe data is corrected for clock drift, geo-fence filtered to a selected intersection, and then stop line crossings in the intersection are identified and analyzed along with related data to determine the timing plans and schedule for the intersection. In this way, access to government agency timing plans is obviated so as to save time and expense.