Patent ID: 11908317
Assignee: UNIVERSITY OF CENTRAL FLORIDA RESEARCH FOUNDATION, INC.
Field: Control (Instruments)
Classification: CPC G | IPC G

Claim 0:
1. A method of automatically and proactively managing traffic patterns, the method comprising the steps of:
receiving, on a central server, and aggregating, via the server, a plurality of real-time data including traffic data and weather data, the plurality of real-time data relating to a segment of a traffic system;
building a base map displaying the segment of the traffic system;
overlaying graphical depictions of the plurality of real-time data on the base map;
identifying, based on the graphical depictions, one or more likely areas of the base map that represent a likelihood of a traffic event by:
calculating a statistical likelihood of a plurality of traffic events based on a statistical model selected from group consisting of a binary logistic model, a conditional logistic model, a Bayesian conditional logistic model, a Bayesian random parameter/effect logistic model and a combination of thereof;
calibrating the statistical model using an under-sampling method to reduce a sample size of a plurality of non-traffic events;
simultaneously utilizing a long short-term memory model to identify a pattern-based likelihood of the traffic event;
training, retraining, or both, the long short-term memory model using an oversampling method to increase the sample size of the plurality of traffic events; and
combining a result of the statistical likelihood of the traffic event with a result of the long short-term memory model to generate a hybrid model representing the likelihood of the traffic event on the base map;

outputting at least one alteration of a traffic route to reduce the likelihood of the traffic event by:
utilizing the hybrid model as an input to a calculation of the at least one alteration;
fitting a plurality of countermeasures stored in a database over the base map;
calculating a difference between each of the plurality of countermeasures and the hybrid model by subjecting each of the plurality of countermeasures to one or more virtual simulations; and
selecting at least one of the plurality of countermeasures as the at least one alteration of the traffic route to reduce the likelihood of the traffic event; and

graphically displaying the at least one alteration of the traffic route on the base map.