Abstract: A method for forecasting time delays added to a scheduled start time and a scheduled end time of a task includes generating a stochastic model of the task and resources affecting the task, the stochastic model includes a reactionary delay component that is a function of previous task end times and a root cause delay component that is an independent random process at a specific time. The method further includes: calculating a probability distribution of time delays added to the scheduled start time as a combination of the reactionary delay component and the root cause delay component using the stochastic model to provide a probability distribution of start times; and calculating a probability distribution of time delays added to the scheduled end time as a combination of the reactionary delay component and the root cause delay component using the stochastic model to provide a probability distribution of end times.

Abstract: A method for forecasting time delays added to a scheduled start time and a scheduled end time of a task includes generating a stochastic model of the task and resources affecting the task, the stochastic model includes a reactionary delay component that is a function of previous task end times and a root cause delay component that is an independent random process at a specific time. The method further includes: calculating a probability distribution of time delays added to the scheduled start time as a combination of the reactionary delay component and the root cause delay component using the stochastic model to provide a probability distribution of start times; and calculating a probability distribution of time delays added to the scheduled end time as a combination of the reactionary delay component and the root cause delay component using the stochastic model to provide a probability distribution of end times.

Abstract: A method for localizing the source of air pollution that includes receiving pollution data from a network in communication with at least one air pollution sensor that is connected to at least one motor vehicle in a stationary position. Each stationary motor vehicle of the network is positioned at a different air pollution measurement location. The method may further include determining from the pollution data an origin of an air pollutant using an air pollution model provided by a pollutant source localization device including at least one hardware processor.

Abstract: A method for localizing the source of air pollution that includes receiving pollution data from a network in communication with at least one air pollution sensor that is connected to at least one motor vehicle in a stationary position. Each stationary motor vehicle of the network is positioned at a different air pollution measurement location. The method may further include determining from the pollution data an origin of an air pollutant using an air pollution model provided by a pollutant source localization device including at least one hardware processor.

Abstract: A mechanism is provided for parking space management of a managed parking structure. Information is received from a vehicle that has parked in the managed parking structure. The information from the vehicle is utilized to determine a probabilistic location of the vehicle within the managed parking structure. Responsive to determining the probabilistic location of the vehicle within the managed parking structure using the information from the vehicle, an occupied parking space evidence data structure is updated with a vehicle identifier of the vehicle as being associated with the location of the vehicle within the managed parking structure.

Abstract: A method for localizing the source of air pollution that includes receiving pollution data from a network in communication with at least one air pollution sensor that is connected to at least one motor vehicle in a stationary position. Each stationary motor vehicle of the network is positioned at a different air pollution measurement location. The method may further include determining from the pollution data an origin of an air pollutant using an air pollution model provided by a pollutant source localization device including at least one hardware processor.

Abstract: A method for localizing the source of air pollution that includes receiving pollution data from a network in communication with at least one air pollution sensor that is connected to at least one motor vehicle in a stationary position. Each stationary motor vehicle of the network is positioned at a different air pollution measurement location. The method may further include determining from the pollution data an origin of an air pollutant using an air pollution model provided by a pollutant source localization device including at least one hardware processor.

Abstract: A mechanism is provided for parking space management of a managed parking structure. Information is received from a vehicle that has parked in the managed parking structure. The information from the vehicle is utilized to determine a probabilistic location of the vehicle within the managed parking structure. Responsive to determining the probabilistic location of the vehicle within the managed parking structure using the information from the vehicle, an occupied parking space evidence data structure is updated with a vehicle identifier of the vehicle as being associated with the location of the vehicle within the managed parking structure.

Abstract: A method for forecasting time delays added to a scheduled start time and a scheduled end time of a task includes generating a stochastic model of the task and resources affecting the task, the stochastic model includes a reactionary delay component that is a function of previous task end times and a root cause delay component that is an independent random process at a specific time. The method further includes: calculating a probability distribution of time delays added to the scheduled start time as a combination of the reactionary delay component and the root cause delay component using the stochastic model to provide a probability distribution of start times; and calculating a probability distribution of time delays added to the scheduled end time as a combination of the reactionary delay component and the root cause delay component using the stochastic model to provide a probability distribution of end times.

Abstract: A method for forecasting time delays added to a scheduled start time and a scheduled end time of a task includes generating a stochastic model of the task and resources affecting the task, the stochastic model includes a reactionary delay component that is a function of previous task end times and a root cause delay component that is an independent random process at a specific time. The method further includes: calculating a probability distribution of time delays added to the scheduled start time as a combination of the reactionary delay component and the root cause delay component using the stochastic model to provide a probability distribution of start times; and calculating a probability distribution of time delays added to the scheduled end time as a combination of the reactionary delay component and the root cause delay component using the stochastic model to provide a probability distribution of end times.

Abstract: Methods and systems for scheduling include receiving a plurality of scheduling requests for events, where each of the scheduling requests includes a list of invited individuals. An optimization problem is solved based on the set of scheduling requests, a set of available times for respective invited individuals, location information for the respective invited individuals, a set of possible locations, and a set of available vehicles. Times and locations are scheduled responsive to respective scheduling requests based on the solution to the optimization problem and invited individuals are assigned to vehicles, if said invited individuals are in locations other than a respective scheduled location, to provide transportation for each invited individual to and from the scheduled location.

Abstract: In order to modulate consumer usage of service categories for accessing a resource, an electronic service menu is first transmitted by a computer system. The electronic service menu includes a cost indicator and a benefit indicator for each of the service categories. Subsequent to the transmission of the electronic service menu, consumer usage data about each of the service categories is tracked. The consumer usage data is then analyzed. Based on this analysis, the service capacity of at least one of the service categories is adjusted. Also based on the analysis, a revised electronic service menu is transmitted by the computer system. The revised electronic service menu includes at least one revised cost indicator and at least one revised benefit indicator.