Abstract: A method generates optimized traffic movement plans. A plan monitor determines a first planning boundary for traffic based upon traffic conditions of a region. A plan generator employs the first planning boundary and repetitively generates first traffic movement plans for the traffic. The plan generator selects one of the first traffic movement plans as a first optimized traffic movement plan, and outputs the same for controlling traffic movement. The plan monitor determines current traffic conditions of the region for a planning window, and updates the first planning boundary to provide a second planning boundary for the traffic based upon the current traffic conditions. The plan generator employs the second planning boundary and repetitively generates second traffic movement plans for the traffic, selects one of the first and second traffic movement plans as a second optimized traffic movement plan, and outputs the same for controlling traffic movement.

Abstract: A hazard predictor that processes both rail and superstructure measurements to predict some potentially hazardous conditions on a railway structure. Measurement is collected in real time with the aid of fiber optic sensor based linear array mesh, and processed with a neural network. Sensors placed under the rail and sensors placed laterally of the rail provide data collection in real time both during occupied and unoccupied periods. In some embodiments the measurement data is compressed into two signatures which can be represented as two vectors. The collinearity of the vectors and the angle between the vectors are utilized to interpret the data as to track conditions. The angle between the descriptors can be used to predict the severity of degradation of the structure. The predictor can be used to manage maintenance of the structure and interface with existing railway signalling equipment to provide traffic management.