Xerox Corporation

Conduent Business Services, LLC

Guangyu Zou

Alvaro Enrique Gil

Ming Yang

Rakesh Suresh Kulkarni

Daniel W Costanza

William Kenneth Stumbo

Diane Marie Foley

A method and system for providing a feedback based dynamic pricing algorithm with an embedded controller for a HOT (High Occupancy Toll) lane. An input-output transfer function of a vehicle flow with respect to a HOT lane can be obtained utilizing a simulation module. A feedback controller combined with, for example, a Smith predictor can be designed to avoid an unstable behavior due to a time delay in the HOT lane, a price regulation, and a large transient caused by an integral part of the controller due to traffic jams. A driver behavior preference model can be derived based on a relationship between a toll rate and several characteristics of the HOT lane and a general purpose lane. The feedback controller and the behavior preference model can then be implemented to set the toll rate in real-time in order to satisfy a desired performance metric.

Method and system for providing dynamic pricing algorithm with embedded controller for high occupancy toll lanes

Methods and systems for creating statistical model. Values of at least one output parameter corresponding to each combination of values of a set of input parameters are collected. The at least one output parameter and the set of input parameters are associated with one or more crowdsourcing tasks. Each combination of the values of the set of input parameters is determined based on at least one of one or more design of experiments or a historical data. Further, a distribution of the values of the at least one output parameter is determined. The statistical model is created based on the values of the set of input parameters and one or more characteristics associated with the distribution of the values of the at least one output parameter.

Methods and systems for modeling crowdsourcing platform

Methods, systems and processor-readable media for modeling and optimizing multiple ITS (Intelligent Transportation System) strategies utilizing a systematic genetic algorithm. A traffic simulation model can be configured in conjunction with a genetic algorithm based optimization engine for optimizing the transportation models. An origin-destination matrix that minimizes discrepancies between a simulated and an observed link traffic count can be estimated by considering a road network and a traffic count with respect to a region. A driver behavior can then be determined utilizing the origin-destination matrix via calibration so that the simulation model can replicate a freeway traffic flow in the region. An optimal parameter with respect to the ITS strategies can be determined to optimize a set goal with respect to a given constraint. Such an approach meets a level of service (LOS) metric as well as a revenue target under the applied ITS strategies.

Methods, systems and processor-readable media for optimizing intelligent transportation system strategies utilizing systematic genetic algorithms

An apparatus and method of predicting the end of life of a consumable. A basic weighted least squares algorithm has been extended and augmented to compensate for observed common consumable/printer behavior. The system uses consumable usage data (such as toner level) acquired from the device to predict the current and future consumable level and to predict the remaining life. The apparatus and method monitors the consumable's usage and updates the prediction so that when the predicted remaining life matches a preset threshold, it automatically triggers an order placement event to ship product to customer.

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Guangyu Zou