Real-time service level monitor

A computer system for service level monitoring and management of a mass transit system, the computer system comprising:

• one or more computer processors, one or more computer-readable storage media, and program instructions stored on one or more of the computer-readable storage media for execution by at least one of the one or more computer processors, the program instructions, when executed by the at least one of the one or more computer processors, causing the computer system to perform a method comprising:
• receiving time series data sets from wireless access points of a wireless computer network, wherein each time series data set corresponds to a mobile device in the transit system;
• determining spatio-temporal trajectories of each mobile device in the transit system based on the time series data sets corresponding to each mobile device, wherein each data set comprises an identifier associated with a device, a timestamp indicating a time at which data corresponding to the device was received, and a location at which the data was received;
• clustering the determined spatio-temporal trajectories of a group of individual devices;
• determining a spatio-temporal trajectory of a vehicle in the transit system based on the clustered spatio-temporal trajectory of the group of individual devices;
• and
• adjusting a system parameter of the transit system based on the determined spatio-temporal trajectory of the vehicle to reduce a crowd density level at a station platform in the transit system.

A computer program product for service level monitoring and management of a mass transit system, the computer program product comprising:

• one or more computer-readable storage devices and program instructions stored on at least one of the one or more computer-readable storage devices for execution by at least one or more computer processors of a computer system, the program instructions, when executed by the at least one of the one or more computer processors, causing the computer system to perform a method comprising:
• receiving time series data sets from wireless access points of a wireless computer network, wherein each time series data set corresponds to a mobile device in the transit system;
• determining spatio-temporal trajectories of each mobile device in the transit system based on the time series data sets corresponding to each mobile device, wherein each data set comprises an identifier associated with a device, a timestamp indicating a time at which data corresponding to the device was received, and a location at which the data was received;
• clustering the determined spatio-temporal trajectories of a group of individual devices;
• determining a spatio-temporal trajectory of a vehicle in the transit system based on the clustered spatio-temporal trajectory of the group of individual devices;
• and
• adjusting a system parameter of the transit system based on the determined spatio-temporal trajectory of the vehicle to reduce a crowd density level at a station platform in the transit system.