International Business Machines Corporation

So Yeon Chun

Milind R Naphade

Anshul Sheopuri

Richard John Nash

Duncan A Ashby

Todd M Appel

Anders Thornqvist

Martin Vuyk

Laura Wynter

A computer readable medium embodies a program of machine-readable instructions executable by a processing apparatus to perform operations including determining information corresponding to a number of differences in distances between ending points of journeys taken by a vehicle and starting points of consecutive journeys taken by the vehicle, and transmitting one or more representations of the information. Another computer readable medium tangibly includes instructions for, for each of a number of vehicles, receiving one or more scores corresponding to a vehicle, and determining a ranked list containing at least a portion of the scores, and outputting the ranked list. Another computer readable medium includes instructions for, for each of a number of vehicles, receiving information corresponding to a vehicle, using one or more metrics, calculating one or more values from the received information, and communicating one or more representations of the one or more value to one or more entities.

Anomaly detection for road user charging systems

A decision support for real time command center, in one aspect, classifies, using a decision tree, an observed network state of a network into at least one category. A meta-model associated with the classified at least one category may be selected from a plurality of meta-models, the plurality of meta-models having been calibrated using results of simulations of a plurality of scenarios occurring in the network. One or more action plans may be evaluated by running the selected meta-model with data of the observed network state. One or more recommended action plans may be generated for the real time command center, based on the evaluation. Actual network state data resulting from having applied the one or more recommended action plans may be evaluated and used to recalibrate the meta-model and/or the decision tree.

Decision support system optimizer for a real-time command center

Growing community of inventors

Atlanta, GA, United States of America

So Yeon Chun