Systems and methods involving features of adaptive and/or autonomous traffic control
First Claim
1. A method for processing traffic information, the method comprising:
- receiving data regarding travel of vehicles associated with an intersection;
using a neural network to recognize traffic types associated with the intersection, the traffic types being composed of one or both of traffic context types and traffic category types;
using the neural network to recognize traffic states associated with the intersection;
using the neural network to process optimal traffic flow decisions for the intersection as a function of prior traffic information regarding the intersection;
using the neural network to achieve efficient traffic flow for the intersection via recognition and use of the optimal traffic flow decisions in providing an output that controls a traffic light system associated with the intersection; and
performing recognition of the traffic types using an array having a plurality of sensor inputs from video sensors, physical sensors in infrastructure of the intersection and/or the traffic light system, and other sensor inputs from one or more electromagnetic sensors;
wherein the other sensor inputs include an infrared traffic input providing capability of detecting vehicle type and passenger quantity from transmission of electromagnetic spectra data types;
wherein the infrared traffic input comprises;
infrared signatures of detected traffic objects independent from adverse weather or light conditions for recognition of vehicle position and vehicle type; and
detection of passenger occupancy of the vehicles which is used in higher level traffic flow decision making;
and wherein the method further comprises;
giving priority to passenger-weighted incoming traffic.
0 Assignments
0 Petitions
Accused Products
Abstract
Systems and method are disclosed for adaptive and/or autonomous traffic control. In one illustrative implementation, there is provided a method for processing traffic information. Moreover, the method may include receiving data regarding travel of vehicles associated with an intersection, using neural network technology to recognize types and/or states of traffic, and using the neural network technology to process/determine/memorize optimal traffic flow decisions as a function of experience information. Exemplary implementations may also include using the neural network technology to achieve efficient traffic flow via recognition of the optimal traffic flow decisions.
13 Citations
20 Claims
-
1. A method for processing traffic information, the method comprising:
-
receiving data regarding travel of vehicles associated with an intersection; using a neural network to recognize traffic types associated with the intersection, the traffic types being composed of one or both of traffic context types and traffic category types; using the neural network to recognize traffic states associated with the intersection; using the neural network to process optimal traffic flow decisions for the intersection as a function of prior traffic information regarding the intersection; using the neural network to achieve efficient traffic flow for the intersection via recognition and use of the optimal traffic flow decisions in providing an output that controls a traffic light system associated with the intersection; and performing recognition of the traffic types using an array having a plurality of sensor inputs from video sensors, physical sensors in infrastructure of the intersection and/or the traffic light system, and other sensor inputs from one or more electromagnetic sensors; wherein the other sensor inputs include an infrared traffic input providing capability of detecting vehicle type and passenger quantity from transmission of electromagnetic spectra data types; wherein the infrared traffic input comprises; infrared signatures of detected traffic objects independent from adverse weather or light conditions for recognition of vehicle position and vehicle type; and detection of passenger occupancy of the vehicles which is used in higher level traffic flow decision making; and wherein the method further comprises; giving priority to passenger-weighted incoming traffic. - View Dependent Claims (2, 3, 4, 5, 6, 7)
-
-
8. A method for processing traffic information, the method comprising:
-
receiving data regarding travel of vehicles associated with an intersection; using a neural network to recognize traffic types associated with the intersection, the traffic types being composed of one or both of traffic context types and traffic category types; using the neural network to recognize traffic states associated with the intersection; using the neural network to process optimal traffic flow decisions for the intersection as a function of prior traffic information regarding the intersection; and using the neural network to achieve efficient traffic flow for the intersection via recognition and use of the optimal traffic flow decisions in providing an output that controls a traffic light system associated with the intersection; wherein higher levels of neural network recognition hierarchy are used to determine relative traffic object and pedestrian positions and speeds, which is used to select optimal traffic light sequences using a sequence of neural network recognition cycles. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
-
Specification