Abstract: The present invention relates to a recombinant poxviral vector for use in vaccinating a subject against SARS-CoV-2. The present invention also provides vaccination regimens using the recombinant poxviral vector, which confers protective immunity against SARS-CoV-2.

Abstract: 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.

Abstract: A method, system, and apparatus for parking occupancy detection comprises collecting video of a blockface with at least one video recording module, identifying a number of possible parking spaces along the blockface in the collected video, defining, a region of interest for each of the possible parking spaces, detecting a time dependent occupancy of the defined regions of interest for each of the possible parking spaces, and reporting the time dependent occupancy. Drift correction of the recorded video and ground truth comparisons of occupancy determinations may be provided.

Abstract: A method, system, and apparatus for video frame alignment comprises collecting video data comprising at least two video frames; extracting a line profile along at least one line profile in each of the at least two video frames; selecting one of the at least two video frames as a reference video frame; segmenting each of the at least one line profiles into a plurality of segmented line profile group segments; aligning the plurality of segmented line profiles with the segmented line profiles in the reference video frame; translating each of the at least two video frames for each of the plurality of corresponding segmented line profile alignments; and removing a camera shift from the at least two video frames according to the translation and alignment of the plurality of segmented line profiles with the plurality of segmented line profile in the reference video frame.

Abstract: A method, system, and apparatus for parking occupancy detection comprises collecting video of a blockface with at least one video recording module, identifying a number of possible parking spaces along the blockface in the collected video, defining, a region of interest for each of the possible parking spaces, detecting a time dependent occupancy of the defined regions of interest for each of the possible parking spaces, and reporting the time dependent occupancy. Drift correction of the recorded video and ground truth comparisons of occupancy determinations may be provided.

Abstract: A method, system, and apparatus for video frame alignment comprises collecting video data comprising at least two video frames; extracting a line profile along at least one line profile in each of the at least two video frames; selecting one of the at least two video frames as a reference video frame; segmenting each of the at least one line profiles into a plurality of segmented line profile group segments; aligning the plurality of segmented line profiles with the segmented line profiles in the reference video frame; translating each of the at least two video frames for each of the plurality of corresponding segmented line profile alignments; and removing a camera shift from the at least two video frames according to the translation and alignment of the plurality of segmented line profiles with the plurality of segmented line profile in the reference video frame.

Abstract: 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.

Abstract: Method and system for dynamically adjusting compensation for one or more tasks are disclosed. The method includes estimating the compensation for each task in a batch of tasks based on at least one of a minimum wage for a task in the batch of tasks, one or more attributes associated with the worker, a number and type of tasks in the batch of tasks, or a target level of service. The compensation for the each task of the batch of tasks is then adjusted based on at least one of an observed level of service associated with the batch of tasks and the target level of service. The method is performed using a processor.

Abstract: 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.

Abstract: 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.

Abstract: A method and system for motivating and optimizing usage of a toll lane by displaying a time based cost metric on an electronic display. The real time electronic display can be configured on the toll lane for displaying information with respect to the toll lane to, for example, a driver on a highway. An average speed of vehicles in the toll lane and/or a non-toll lane of the highway over at least one span can be measured and the average speed can be displayed on the electronic display. A toll rate with respect to the usage of the toll lane can be determined and displayed. A time saving value and a cost per unit time with respect to the usage of the toll lane over the span can be calculated and displayed on the electronic display.

Abstract: A system and method for dynamically allocating resources in a process. A demand pattern change detection unit, a future demand forecasting unit and a process optimization engine can be employed to constantly adjust resource allocation and assist in maintaining processes in a state of peak performance. An initial resource allocation unit generates an initial resource allocation plan based on past experience with respect to the process. The change detection unit detects a shift in the job demand pattern utilizing a statistical data when a change occurs in process requirements. The future demand generation unit accurately generates future demand data based on current job data and the outlook of future demand. The optimization engine acts as a surrogate process expert and provides recommendations to the process owner regarding potential possible resource allocation policies for new job demand data utilizing a simulation process to predict the result of variable staffing configurations.

Abstract: A system and method for dynamically allocating resources in a process. A demand pattern change detection unit, a future demand forecasting unit and a process optimization engine can be employed to constantly adjust resource allocation and assist in maintaining processes in a state of peak performance. An initial resource allocation unit generates an initial resource allocation plan based on past experience with respect to the process. The change detection unit detects a shift in the job demand pattern utilizing a statistical data when a change occurs in process requirements. The future demand generation unit accurately generates future demand data based on current job data and the outlook of future demand. The optimization engine acts as a surrogate process expert and provides recommendations to the process owner regarding potential possible resource allocation policies for new job demand data utilizing a simulation process to predict the result of variable staffing configurations.